bayes.bib

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@Article{Kass2006a,
  author       = {Kass, Robert E.},
  title        = {Kinds of {Bayesians} (comment on articles by {Berger} and by {Goldstein})},
  journaltitle = {Bayesian Analysis},
  date         = {2006-09},
  volume       = {1},
  number       = {3},
  pages        = {437--440},
  doi          = {10.1214/06-BA116E},
  fjournal     = {Bayesian Analysis},
  publisher    = {International Society for Bayesian Analysis},
  timestamp    = {2017-05-21},
}

@WWW{Clark2016a,
  author    = {Clark, Michael},
  title     = {{Bayesian} basics},
  date      = {2016-04-26},
  url       = {https://m-clark.github.io/docs/IntroBayes.html},
  timestamp = {2017-05-21},
}

@Book{McElreath2016a,
  author    = {McElreath, Richard},
  title     = {Statistical Rethinking},
  year      = {2016},
  date      = {2016-12-08},
  publisher = {Apple Academic Press Inc.},
  isbn      = {1482253445},
  pagetotal = {487},
  ean       = {9781482253443},
}

@Book{Kruschke2015a,
  author    = {Kruschke, John K.},
  title     = {Doing {Bayesian} Data Analysis},
  year      = {2015},
  date      = {2015-01-11},
  publisher = {Elsevier LTD, Oxford},
  isbn      = {0124058884},
  ean       = {9780124058880},
  timestamp = {2017-05-21},
}

@Book{BDA3,
  author    = {Gelman, Andrew and Carlin, John B. and Stern, Hal S. and Dunson, David B. and Vehtari, Aki},
  title     = {{Bayesian} Data Analysis},
  year      = {2013},
  date      = {2013-11-05},
  publisher = {Taylor \& Francis Ltd},
  isbn      = {1439840954},
  pagetotal = {675},
  ean       = {9781439840955},
  timestamp = {2017-05-14},
}

@Book{EfronHastie2016a,
  author    = {Efron, Bradley and Hastie, Trevor},
  title     = {Computer age statistical inference},
  year      = {2016},
  date      = {2016-07-31},
  publisher = {Cambridge University Pr.},
  isbn      = {1107149894},
  ean       = {9781107149892},
  timestamp = {2017-03-23},
}

@Book{GelmanHill2007a,
  author    = {Gelman, Andrew and Hill, Jennifer},
  title     = {Data Analysis Using Regression and Multilevel / Hierarchical Models},
  year      = {2007},
  date      = {2007-06-11},
  publisher = {Cambridge University Pr.},
  isbn      = {052168689X},
  pagetotal = {648},
  ean       = {9780521686891},
}

@Book{Hoff2009a,
  author    = {Hoff, Peter D.},
  title     = {A first course in {Bayesian} statistical methods},
  year      = {2009},
  date      = {2009-06-11},
  publisher = {Springer-Verlag GmbH},
  isbn      = {0387922997},
  ean       = {9780387922997},
  doi       = {10.1007/978-0-387-92407-6},
  series    = {Springer Texts in Statistics}
}

@Book{Murphy2012a,
  author    = {Murphy, Kevin P.},
  title     = {Machine learning},
  year      = {2012},
  date      = {2012-09-18},
  publisher = {MIT Press Ltd},
  isbn      = {0262018020},
  pagetotal = {1104},
  ean       = {9780262018029},
}

@Book{RobertCasella2009a,
  author    = {Robert, Christian P. and Casella, George},
  title     = {Introducing {Monte} {Carlo} Methods with {R}},
  year      = {2009},
  date      = {2009-12-10},
  publisher = {Springer},
  isbn      = {1441915753},
  doi       = {10.1007/978-1-4419-1576-4},
  ean       = {9781441915757},
  timestamp = {2017-05-21},
}

@Book{BlitzsteinHwang2014a,
  author    = {Blitzstein, Joseph K. and Hwang, Jessica},
  title     = {Introduction to probability},
  year      = {2014},
  date      = {2014-08-22},
  publisher = {Taylor \& Francis Inc},
  isbn      = {1466575573},
  pagetotal = {596},
  ean       = {9781466575578},
}

@Book{Jaynes2003a,
  author    = {Jaynes, E. T.},
  title     = {Probability theory},
  date      = {2003},
  publisher = {Cambridge University Pr.},
  isbn      = {0521592712},
  ean       = {9780521592710},
  timestamp = {2017.04.25},
}

@Book{Stone2013a,
  author    = {Stone, James V.},
  title     = {{Bayes’} Rule},
  year      = {2013},
  date      = {2013-06-04},
  publisher = {Tutorial Introductions},
  isbn      = {0956372848},
  pagetotal = {188},
  ean       = {9780956372840},
  timestamp = {2017-05-14},
}

@Book{Davidson-Pilon2015a,
  author    = {Davidson-Pilon, Cameron},
  title     = {{Bayesian} methods for hackers},
  year      = {2015},
  date      = {2015-10-02},
  publisher = {Addison Wesley},
  isbn      = {0133902838},
  pagetotal = {256},
  ean       = {9780133902839},
  timestamp = {2017-05-21},
}

@Book{MacKay2003a,
  author    = {MacKay, David J. C.},
  title     = {Information theory, inference and learning algorithms},
  year      = {2003},
  date      = {2003-09-11},
  publisher = {Cambridge University Pr.},
  isbn      = {0521642981},
  ean       = {9780521642989},
}

@Article{Efron2013a,
  author       = {Efron, B.},
  title        = {{Bayes’} theorem in the 21st century},
  journaltitle = {Science},
  date         = {2013-06},
  volume       = {340},
  number       = {6137},
  pages        = {1177--1178},
  doi          = {10.1126/science.1236536},
  publisher    = {American Association for the Advancement of Science (AAAS)},
  timestamp    = {2017-05-14},
}

@Article{SmaldinoMcElreath2016a,
  author       = {Smaldino, Paul E. and McElreath, Richard},
  title        = {The natural selection of bad science},
  journaltitle = {Royal Society Open Science},
  date         = {2016-06},
  volume       = {3},
  number       = {9},
  pages        = {160384},
  doi          = {10.1098/rsos.160384},
  publisher    = {The Royal Society},
  timestamp    = {2017.03.20},
}

@Article{BafumiGelmanParkEtAl2005a,
  author       = {Bafumi, Joseph and Gelman, Andrew and Park, David K. and Kaplan, Noah},
  title        = {Practical issues in implementing and understanding {Bayesian} ideal point estimation},
  journaltitle = {Political Analysis},
  date         = {2005},
  volume       = {13},
  number       = {02},
  pages        = {171--187},
  doi          = {10.1093/pan/mpi010},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{Spirling2007a,
  author       = {Spirling, Arthur},
  title        = {{Bayesian} approaches for limited dependent variable change point problems},
  journaltitle = {Political Analysis},
  date         = {2007},
  volume       = {15},
  number       = {04},
  pages        = {387--405},
  doi          = {10.1093/pan/mpm022},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{ImaiLuStrauss2008a,
  author       = {Imai, Kosuke and Lu, Ying and Strauss, Aaron},
  title        = {{Bayesian} and {Likelihood} inference for 2×2 ecological tables: an incomplete-data approach},
  journaltitle = {Political Analysis},
  date         = {2008},
  volume       = {16},
  number       = {01},
  pages        = {41--69},
  doi          = {10.1093/pan/mpm017},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{Grimmer2011a,
  author       = {Grimmer, Justin},
  title        = {An introduction to {Bayesian} inference via variational approximations},
  journaltitle = {Political Analysis},
  date         = {2011},
  volume       = {19},
  number       = {01},
  pages        = {32--47},
  doi          = {10.1093/pan/mpq027},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@ARTICLE{RanganathGerrishBlei2014a,
   author = {Ranganath, R. and Gerrish, S. and Blei, D. M.},
   title = "{Black box variational inference}",
   journal = {ArXiv e-prints},
   archivePrefix = "arXiv",
   eprint = {1401.0118},
   primaryClass = "stat.ML",
   year = 2014,
   month = dec,
   url = {https://arxiv.org/abs/1401.0118},
   adsurl = {http://adsabs.harvard.edu/abs/2014arXiv1401.0118R},
   adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}


@Article{LockGelman2010a,
  author       = {Lock, Kari and Gelman, Andrew},
  title        = {{Bayesian} combination of state polls and election forecasts},
  journaltitle = {Political Analysis},
  date         = {2010},
  volume       = {18},
  number       = {03},
  pages        = {337--348},
  doi          = {10.1093/pan/mpq002},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{MontgomeryNyhan2010a,
  author       = {Montgomery, Jacob M. and Nyhan, Brendan},
  title        = {{Bayesian} model averaging: theoretical developments and practical applications},
  journaltitle = {Political Analysis},
  date         = {2010},
  volume       = {18},
  number       = {02},
  pages        = {245--270},
  doi          = {10.1093/pan/mpq001},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{Quinn2004a,
  author       = {Quinn, Kevin M.},
  title        = {{Bayesian} factor analysis for mixed ordinal and continuous responses},
  journaltitle = {Political Analysis},
  date         = {2004},
  volume       = {12},
  number       = {04},
  pages        = {338--353},
  doi          = {10.1093/pan/mph022},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{ParkGelmanBafumi2004a,
  author       = {Park, David K. and Gelman, Andrew and Bafumi, Joseph},
  title        = {{Bayesian} multilevel estimation with poststratification: state-level estimates from national polls},
  journaltitle = {Political Analysis},
  date         = {2004},
  volume       = {12},
  number       = {04},
  pages        = {375--385},
  doi          = {10.1093/pan/mph024},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{BakkerPoole2013a,
  author       = {Bakker, Ryan and Poole, Keith T.},
  title        = {{Bayesian} Metric Multidimensional Scaling},
  journaltitle = {Political Analysis},
  date         = {2013},
  volume       = {21},
  number       = {01},
  pages        = {125--140},
  doi          = {10.1093/pan/mps039},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-14},
}

@Article{Grimmer2010a,
  author       = {Grimmer, Justin},
  title        = {A {Bayesian} hierarchical topic model for political texts: measuring expressed agendas in {Senate} press releases},
  journaltitle = {Political Analysis},
  date         = {2010},
  volume       = {18},
  number       = {01},
  pages        = {1--35},
  doi          = {10.1093/pan/mpp034},
  publisher    = {Cambridge University Press (CUP)},
}

@Article{MontgomeryHollenbachWard2012a,
  author       = {Montgomery, Jacob M. and Hollenbach, Florian M. and Ward, Michael D.},
  title        = {Improving predictions using ensemble {Bayesian} model averaging},
  journaltitle = {Political Analysis},
  date         = {2012},
  volume       = {20},
  number       = {03},
  pages        = {271--291},
  doi          = {10.1093/pan/mps002},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{KruschkeLiddell2017a,
  author       = {Kruschke, John K. and Liddell, Torrin M.},
  title        = {The {Bayesian} new statistics: hypothesis testing, estimation, meta-analysis, and power analysis from a {Bayesian} perspective},
  journaltitle = {Psychonomic Bulletin \& Review},
  date         = {2017-02},
  doi          = {10.3758/s13423-016-1221-4},
  publisher    = {Springer Nature},
  timestamp    = {2017-05-21},
}

@Article{Kruschke2013a,
  author       = {Kruschke, John K.},
  title        = {{Bayesian} estimation supersedes the {t} test.},
  journaltitle = {Journal of Experimental Psychology: General},
  date         = {2013},
  volume       = {142},
  number       = {2},
  pages        = {573--603},
  doi          = {10.1037/a0029146},
  publisher    = {American Psychological Association (APA)},
  timestamp    = {2017-05-14},
}

@Book{Jeliazkov2014a,
  author    = {Jeliazkov, Ivan},
  title     = {{Bayesian} inference in the social sciences},
  year      = {2014},
  date      = {2014-10-31},
  publisher = {Wiley},
  isbn      = {1118771214},
  pagetotal = {352},
  ean       = {9781118771211},
  timestamp = {2017-05-14},
}

@Article{GelmanShalizi2012a,
  author       = {Gelman, Andrew and Shalizi, Cosma Rohilla},
  title        = {Philosophy and the practice of {Bayesian} statistics},
  journaltitle = {British Journal of Mathematical and Statistical Psychology},
  date         = {2012-02},
  volume       = {66},
  number       = {1},
  pages        = {8--38},
  doi          = {10.1111/j.2044-8317.2011.02037.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{Rubin1984a,
  author       = {Rubin, Donald B.},
  title        = {{Bayesianly} Justifiable and Relevant Frequency Calculations for the Applied Statistician},
  journaltitle = {The Annals of Statistics},
  date         = {1984-12},
  volume       = {12},
  number       = {4},
  pages        = {1151--1172},
  doi          = {10.1214/aos/1176346785},
  publisher    = {Institute of Mathematical Statistics},
  timestamp    = {2017-05-21},
}

@Article{Berger2003a,
  author       = {Berger, James O.},
  title        = {Could {Fisher}, {Jeffreys} and {Neyman} Have Agreed on Testing?},
  journaltitle = {Statistical Science},
  date         = {2003-02},
  volume       = {18},
  number       = {1},
  pages        = {1--32},
  doi          = {10.1214/ss/1056397485},
  publisher    = {Institute of Mathematical Statistics},
  timestamp    = {2017-05-21},
}

@Article{BergerSellke1987a,
  author       = {Berger, James O. and Sellke, Thomas},
  title        = {Testing a point null hypothesis: the irreconcilability of p values and evidence},
  journaltitle = {Journal of the American Statistical Association},
  date         = {1987-03},
  volume       = {82},
  number       = {397},
  pages        = {112},
  doi          = {10.2307/2289131},
  publisher    = {JSTOR},
}

@Book{Kaplan2014a,
  author    = {Kaplan, David},
  title     = {{Bayesian} statistics for the social sciences},
  year      = {2014},
  date      = {2014-07-16},
  publisher = {Guilford Press},
  pagetotal = {318},
  ean       = {9781462516674},
  timestamp = {2017-05-14},
}

@Article{HumphreysJacobs2015a,
  author       = {Humphreys, Macartan and Jacobs, Alan M.},
  title        = {Mixing methods: a {Bayesian} approach},
  journaltitle = {American Political Science Review},
  date         = {2015-11},
  volume       = {109},
  number       = {04},
  pages        = {653--673},
  doi          = {10.1017/s0003055415000453},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Book{Lynch2007a,
  title     = {Introduction to applied {Bayesian} statistics and estimation for social scientists},
  date      = {2007},
  editor    = {Lynch, Scott M.},
  publisher = {Springer Nature},
  doi       = {10.1007/978-0-387-71265-9},
  timestamp = {2017-05-21},
}

@Article{Darmofal2009a,
  author       = {Darmofal, David},
  title        = {{Bayesian} spatial survival models for political event processes},
  journaltitle = {American Journal of Political Science},
  date         = {2009-01},
  volume       = {53},
  number       = {1},
  pages        = {241--257},
  doi          = {10.1111/j.1540-5907.2008.00368.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{RosasShomerHaptonstahl2014a,
  author       = {Rosas, Guillermo and Shomer, Yael and Haptonstahl, Stephen R.},
  title        = {No news is news: nonignorable nonresponse in roll-call data analysis},
  journaltitle = {American Journal of Political Science},
  date         = {2014-08},
  volume       = {59},
  number       = {2},
  pages        = {511--528},
  doi          = {10.1111/ajps.12148},
  publisher    = {Wiley-Blackwell},
}

@Article{Stegmueller2013a,
  author       = {Stegmueller, Daniel},
  title        = {How many countries for multilevel modeling? a comparison of frequentist and {Bayesian} approaches},
  journaltitle = {American Journal of Political Science},
  date         = {2013-01},
  volume       = {57},
  number       = {3},
  pages        = {748--761},
  doi          = {10.1111/ajps.12001},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-14},
}

@Article{HareArmstrongBakkerEtAl2014a,
  author       = {Hare, Christopher and Armstrong, David A. and Bakker, Ryan and Carroll, Royce and Poole, Keith T.},
  title        = {Using {Bayesian} {Aldrich-McKelvey} scaling to study citizens’ ideological preferences and perceptions},
  journaltitle = {American Journal of Political Science},
  date         = {2014-09},
  volume       = {59},
  number       = {3},
  pages        = {759--774},
  doi          = {10.1111/ajps.12151},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{HonakerKing2010a,
  author       = {Honaker, James and King, Gary},
  title        = {What to do about missing values in time-series cross-section data},
  journaltitle = {American Journal of Political Science},
  date         = {2010-04},
  volume       = {54},
  number       = {2},
  pages        = {561--581},
  doi          = {10.1111/j.1540-5907.2010.00447.x},
  publisher    = {Wiley-Blackwell},
}

@Article{ImaiTingley2011a,
  author       = {Imai, Kosuke and Tingley, Dustin},
  title        = {A statistical method for empirical testing of competing theories},
  journaltitle = {American Journal of Political Science},
  date         = {2011-12},
  volume       = {56},
  number       = {1},
  pages        = {218--236},
  doi          = {10.1111/j.1540-5907.2011.00555.x},
  publisher    = {Wiley-Blackwell},
}

@Article{Park2010a,
  author       = {Park, Jong Hee},
  title        = {Structural change in {U.S.} presidents’ use of force},
  journaltitle = {American Journal of Political Science},
  date         = {2010-06},
  volume       = {54},
  number       = {3},
  pages        = {766--782},
  doi          = {10.1111/j.1540-5907.2010.00459.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{Park2012a,
  author       = {Park, Jong Hee},
  title        = {A unified method for dynamic and cross-sectional heterogeneity: introducing hidden {Markov} panel models},
  journaltitle = {American Journal of Political Science},
  date         = {2012-06},
  volume       = {56},
  number       = {4},
  pages        = {1040--1054},
  doi          = {10.1111/j.1540-5907.2012.00590.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{Gross2014a,
  author       = {Gross, Justin H.},
  title        = {Testing what matters (if you must test at all): a context-driven approach to substantive and statistical significance},
  journaltitle = {American Journal of Political Science},
  date         = {2014-11},
  volume       = {59},
  number       = {3},
  pages        = {775--788},
  doi          = {10.1111/ajps.12149},
  publisher    = {Wiley-Blackwell},
}

@Article{WawroKatznelson2013a,
  author       = {Wawro, Gregory J. and Katznelson, Ira},
  title        = {Designing historical social scientific inquiry: how parameter heterogeneity can bridge the methodological divide between quantitative and qualitative approaches},
  journaltitle = {American Journal of Political Science},
  date         = {2013-08},
  volume       = {58},
  number       = {2},
  pages        = {526--546},
  doi          = {10.1111/ajps.12041},
  publisher    = {Wiley-Blackwell},
}

@Article{PopeTreier2011a,
  author       = {Pope, Jeremy C. and Treier, Shawn},
  title        = {Reconsidering the great compromise at the {Federal} {Convention} of 1787: deliberation and agenda effects on the {Senate} and slavery},
  journaltitle = {American Journal of Political Science},
  date         = {2011-01},
  volume       = {55},
  number       = {2},
  pages        = {289--306},
  doi          = {10.1111/j.1540-5907.2010.00490.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-05-21},
}

@Article{TreierJackman2008a,
  author       = {Treier, Shawn and Jackman, Simon},
  title        = {Democracy as a latent variable},
  journaltitle = {American Journal of Political Science},
  date         = {2008-01},
  volume       = {52},
  number       = {1},
  pages        = {201--217},
  doi          = {10.1111/j.1540-5907.2007.00308.x},
  publisher    = {Wiley-Blackwell},
}

@Article{WesternJackman1994a,
  author       = {Western, Bruce and Jackman, Simon},
  title        = {{Bayesian} inference for comparative research},
  journaltitle = {American Political Science Review},
  date         = {1994-06},
  volume       = {88},
  number       = {02},
  pages        = {412--423},
  doi          = {10.2307/2944713},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Article{ClintonJackmanRivers2004a,
  author       = {Clinton, Joshua and Jackman, Simon and Rivers, Douglas},
  title        = {The statistical analysis of roll call data},
  journaltitle = {American Political Science Review},
  date         = {2004-05},
  volume       = {98},
  number       = {02},
  pages        = {355--370},
  doi          = {10.1017/s0003055404001194},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017.03.22},
}

@Article{ShihAdolphLiu2012a,
  author       = {Shih, Victor and Adolph, Christopher and Liu, Mingxing},
  title        = {Getting ahead in the {Communist} {Party}: explaining the advancement of {Central} {Committee} members in {China}},
  journaltitle = {American Political Science Review},
  date         = {2012-02},
  volume       = {106},
  number       = {01},
  pages        = {166--187},
  doi          = {10.1017/s0003055411000566},
  publisher    = {Cambridge University Press (CUP)},
  timestamp    = {2017-05-21},
}

@Book{RasmussenWilliam2006a,
  author    = {Rasmussen, Carl Edward and William, Christopher K. I.},
  title     = {{Gaussian} processes for machine learning},
  year      = {2006},
  date      = {2006-01-11},
  publisher = {MIT University Press Group Ltd},
  isbn      = {026218253X},
  ean       = {9780262182539},
  timestamp = {2017-05-21},
}

@Book{Berger1993a,
  author    = {Berger, James O.},
  title     = {Statistical decision theory and {Bayesian} analysis},
  year      = {1993},
  date      = {1993-03-25},
  publisher = {Springer},
  isbn      = {0387960988},
  pagetotal = {640},
  ean       = {9780387960982},
  timestamp = {2017-05-21},
}

@Book{Downey2013a,
  author    = {Downey, Allan B.},
  title     = {Think {Bayes}},
  date      = {2013},
  edition   = {1},
  publisher = {OŔeilly Media},
  isbn      = {978-1-449-37078-7},
  url       = {http://greenteapress.com/wp/think-bayes/},
  timestamp = {2017-05-14},
}

@Article{Eddy2004a,
  author       = {Eddy, Sean R.},
  title        = {What is {Bayesian} statistics?},
  journaltitle = {Nature Biotechnology},
  date         = {2004-09},
  volume       = {22},
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@Unpublished{OldfordCherry2006a,
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}

@Article{BorsboomHaig2012a,
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  timestamp    = {2017-05-21},
}

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@Article{PiironenVehtari2015a,
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  doi         = {10.1109/MLSP.2016.7738829},
  eprint      = {1510.04813v3},
  eprintclass = {stat.ME},
  eprinttype  = {arXiv},
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  keywords    = {stat.ME},
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@Article{GelmanVehtariJylaenkiEtAl2014a,
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@Article{SpiegelhalterRice2009a,
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@Article{FentonNeilBerger2016a,
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@Article{LaverBenoitGarry2003a,
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@Article{Colquhoun2014a,
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@Unpublished{GentzkowShapiro2014a,
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@Article{WechslerIzbickiEsteves2013a,
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@Article{GhoshGhattas2015a,
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@Book{RobertCasella2004a,
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@Article{CasellaGeorge1992a,
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@Article{AllisonDunkley2013a,
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  eprint      = {1308.2675v2},
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@InBook{Neal2012a,
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  date         = {2012-06-09},
  eprint       = {1206.1901v1},
  eprintclass  = {stat.CO},
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@Article{SmithGelfand1992a,
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@Article{GelfandHillsRacine-PoonEtAl1990a,
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@TechReport{Hoehle2006a,
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}

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}

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  timestamp    = {2017-05-21},
}

@Unpublished{Clyde2017a,
  author       = {Clyde, Merlise A.},
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  date         = {2017-03-30},
  howpublished = {R package vignette},
  url          = {https://cran.r-project.org/web/packages/BAS/vignettes/BAS-vignette.html},
  urldate      = {2017-05-14},
  timestamp    = {2017-05-14},
}

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}

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  timestamp    = {2017-05-21},
}

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@InCollection{Liu2005a,
  author    = {Liu, Chuanhai},
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  timestamp = {2017-05-21},
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@Article{FearonLaitin2003a,
  author       = {Fearon, James D. and Laitin, David D.},
  title        = {Ethnicity, insurgency, and civil war},
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  date         = {2003-02},
  volume       = {97},
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  timestamp    = {2017-05-21},
}

@Article{Tibshirani1996a,
  author       = {Tibshirani, Robert},
  title        = {Regression shrinkage and selection via the {Lasso}},
  journaltitle = {Journal of the Royal Statistical Society. Series B (Methodological)},
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  timestamp    = {2017-05-21},
}

@Article{LewandowskiKurowickaJoe2009a,
  author       = {Lewandowski, Daniel and Kurowicka, Dorota and Joe, Harry},
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@Article{LeonardHsu1992a,
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@Article{BarnardMcCullochMeng2000a,
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}

@Article{JensenMcShaneWyner2009a,
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  timestamp    = {2017-05-21},
}

@Article{ShorBafumiKeeleEtAl2007a,
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}

@Article{SteenbergenJones2002a,
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  timestamp    = {2017-05-21},
}

@Article{Gilardi2010a,
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  journaltitle = {American Journal of Political Science},
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  pages        = {650--666},
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  timestamp    = {2017-05-21},
}

@Book{Bates2010a,
  author    = {Bates, Douglas M.},
  title     = {{lme4}: mixed-effects modeling with {R}},
  date      = {2010-02-17},
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  urldate   = {2017-05-18},
  timestamp = {2017.05.18},
}

@Article{BatesMaechlerBolkerEtAl2014a,
  author      = {Bates, Douglas and Mächler, Martin and Bolker, Ben and Walker, Steve},
  title       = {Fitting linear mixed-effects models using {lme4}},
  date        = {2014-06-23},
  eprint      = {1406.5823v1},
  eprintclass = {stat.CO},
  eprinttype  = {arXiv},
  file        = {online:http\://arxiv.org/pdf/1406.5823v1:PDF},
  keywords    = {stat.CO},
  timestamp   = {2017-05-21},
}

@Article{BeckKatz2007a,
  author       = {Beck, Nathaniel and Katz, Jonathan N.},
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  date         = {2007},
  volume       = {15},
  number       = {02},
  pages        = {182--195},
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  publisher    = {Cambridge University Press ({CUP})},
  timestamp    = {2017-05-21},
}

@Article{GelmanKing1993a,
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@Article{BafumiGelman2006a,
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@Article{GelmanShorBafumiEtAl2007a,
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@Book{RaudenbushBryk2001a,
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@Article{ORourkeSinnott2006a,
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@Article{AndersenFetner2008a,
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}

@Article{Weldon2006a,
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@InCollection{Draper2008a,
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@Article{HoogheReeskensStolleEtAl2009a,
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}

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}

@Article{AndersonSinger2008a,
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@Book{Jiang2007a,
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@Book{Jackman2009a,
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  title     = {{Bayesian} analysis for the social sciences},
  year      = {2009},
  date      = {2009-10-23},
  publisher = {John Wiley and Sons Ltd},
  isbn      = {0470011548},
  pagetotal = {598},
  ean       = {9780470011546},
  timestamp = {2017-05-21},
}

@Article{Linzer2013a,
  author    = {Drew A. Linzer},
  title     = {Dynamic bayesian forecasting of presidential elections in the {States}},
  journal   = {Journal of the American Statistical Association},
  year      = {2013},
  volume    = {108},
  number    = {501},
  month     = {3},
  pages     = {124--134},
  doi       = {10.1080/01621459.2012.737735},
  publisher = {Informa {UK} Limited},
  timestamp = {2017.05.23},
}

@Article{Jackman2005a,
  author    = {Simon Jackman},
  title     = {Pooling the polls over an election campaign},
  journal   = {Australian Journal of Political Science},
  year      = {2005},
  volume    = {40},
  number    = {4},
  month     = {12},
  pages     = {499--517},
  doi       = {10.1080/10361140500302472},
  publisher = {Informa {UK} Limited},
  timestamp = {2017.05.23},
}

@Article{Fariss2014a,
  author    = {Fariss, Christopher J.},
  title     = {Respect for Human Rights has Improved Over Time: Modeling the Changing Standard of Accountability},
  journal   = {American Political Science Review},
  year      = {2014},
  volume    = {108},
  number    = {02},
  month     = {5},
  pages     = {297--318},
  doi       = {10.1017/s0003055414000070},
  publisher = {Cambridge University Press ({CUP})},
  timestamp = {2017.05.23},
}

@Article{SchnakenbergFariss2013a,
  author    = {Schnakenberg, Keith E. and Fariss, Christopher J.},
  title     = {Dynamic Patterns of Human Rights Practices},
  journal   = {Political Science Research and Methods},
  year      = {2013},
  volume    = {2},
  number    = {01},
  month     = {10},
  pages     = {1--31},
  doi       = {10.1017/psrm.2013.15},
  publisher = {Cambridge University Press ({CUP})},
  timestamp = {2017.05.23},
}

@Article{BaiWang2014a,
  author    = {Jushan Bai and Peng Wang},
  title     = {Identification and Bayesian Estimation of Dynamic Factor Models},
  journal   = {Journal of Business {\&} Economic Statistics},
  year      = {2014},
  volume    = {33},
  number    = {2},
  month     = {7},
  pages     = {221--240},
  doi       = {10.1080/07350015.2014.941467},
  publisher = {Informa {UK} Limited},
  timestamp = {2017.05.23},
}

@Article{AguilarWest2000a,
  author    = {Omar Aguilar and Mike West},
  title     = {Bayesian Dynamic Factor Models and Portfolio Allocation},
  journal   = {Journal of Business {\&} Economic Statistics},
  year      = {2000},
  volume    = {18},
  number    = {3},
  month     = {7},
  pages     = {338--357},
  doi       = {10.1080/07350015.2000.10524875},
  publisher = {Informa {UK} Limited},
  timestamp = {2017.05.23},
}

@Article{EroshevaCurtis2017a,
  author    = {Elena A. Erosheva and S. McKay Curtis},
  title     = {Dealing with Reflection Invariance in Bayesian Factor Analysis},
  journal   = {Psychometrika},
  year      = {2017},
  month     = {3},
  doi       = {10.1007/s11336-017-9564-y},
  publisher = {Springer Nature},
  timestamp = {2017.05.23},
}

@Article{Martin2003a,
  author    = {Andrew D. Martin},
  title     = {Bayesian Inference for Heterogeneous Event Counts},
  journal   = {Sociological Methods {\&} Research},
  year      = {2003},
  volume    = {32},
  number    = {1},
  month     = {aug},
  pages     = {30--63},
  doi       = {10.1177/0049124103253500},
  publisher = {{SAGE} Publications},
}

@Article{Curtis2010a,
  author    = {S. McKay Curtis},
  title     = {{BUGS} code for item response theory},
  journal   = {Journal of Statistical Software},
  year      = {2010},
  volume    = {36},
  number    = {Code Snippet 1},
  doi       = {10.18637/jss.v036.c01},
  publisher = {Foundation for Open Access Statistic},
}

@Article{LuoJiao2017a,
  author    = {Luo, Yong and Jiao, Hong},
  title     = {Using the {Stan} Program for {Bayesian} Item Response Theory},
  journal   = {Educational and Psychological Measurement},
  year      = {2017},
  month     = {feb},
  pages     = {001316441769366},
  doi       = {10.1177/0013164417693666},
  publisher = {{SAGE} Publications},
  timestamp = {2017-05-25},
}

@Unpublished{GrantFurrCarpenterEtAl2015a,
  author    = {Grant, Robert L. and Furr, Daniel C. and Carpenter, Bob and Gelman, Andrew},
  title     = {Fitting {Bayesian} item response models in {Stata} and {Stan}},
  date      = {2015-01-12},
  url       = {http://www.stat.columbia.edu/~gelman/research/unpublished/stan_v_stata.pdf},
  urldate   = {2017-05-25},
  timestamp = {2017-05-25},
}

@Article{PiironenVehtari2016b,
  author    = {Piironen, Juho and Vehtari, Aki},
  title     = {Comparison of {Bayesian} predictive methods for model selection},
  journal   = {Statistics and Computing},
  year      = {2016},
  volume    = {27},
  number    = {3},
  month     = {apr},
  pages     = {711--735},
  doi       = {10.1007/s11222-016-9649-y},
  publisher = {Springer Nature},
  timestamp = {2017-05-25},
}

@Article{BayarriBergerForteEtAl2012a,
  author    = {Bayarri, M. J. and Berger, J. O. and Forte, A. and García-Donato, G.},
  title     = {Criteria for {Bayesian} model choice with application to variable selection},
  journal   = {The Annals of Statistics},
  year      = {2012},
  volume    = {40},
  number    = {3},
  pages     = {1550-1577},
  issn      = {00905364},
  url       = {http://www.jstor.org/stable/41713685},
  abstract  = {In objective Bayesian model selection, no single criterion has emerged as dominant in defining objective prior distributions. Indeed, many criteria have been separately proposed and utilized to propose differing prior choices. We first formalize the most general and compelling of the various criteria that have been suggested, together with a new criterion. We then illustrate the potential of these criteria in determining objective model selection priors by considering their application to the problem of variable selection in normal linear models. This results in a new model selection objective prior with a number of compelling properties.},
  publisher = {Institute of Mathematical Statistics},
  timestamp = {2017-05-25},
}

@Article{Curtis2010b,
  author    = {S. McKay Curtis},
  title     = {{BUGS} Code for item response theory},
  journal   = {Journal of Statistical Software},
  year      = {2010},
  volume    = {36},
  number    = {Code Snippet 1},
  doi       = {10.18637/jss.v036.c01},
  publisher = {Foundation for Open Access Statistic},
  timestamp = {2018.04.10},
}

@Article{Gelfand1998a,
  author    = {A. Gelfand},
  title     = {Model choice: a minimum posterior predictive loss approach},
  journal   = {Biometrika},
  year      = {1998},
  volume    = {85},
  number    = {1},
  month     = {mar},
  pages     = {1--11},
  doi       = {10.1093/biomet/85.1.1},
  publisher = {Oxford University Press ({OUP})},
}

@Article{Prentice1976a,
  author    = {Ross L. Prentice},
  title     = {A Generalization of the Probit and Logit Methods for Dose Response Curves},
  journal   = {Biometrics},
  year      = {1976},
  volume    = {32},
  number    = {4},
  pages     = {761-768},
  issn      = {0006341X, 15410420},
  url       = {http://www.jstor.org/stable/2529262},
  abstract  = {The relationship between response probability and dosage in quantal response bioassay is modelled using a four parameter class. In addition to location and scale quantities the model includes two shape parameters that essentially index skewness and heaviness of tails of the dose-response curve. The class of models includes such special cases as the logistic, normal, extreme minimum value, extreme maximum value, double exponential, exponential and reflected exponential distribution functions. Score tests are derived for logistic and normal hypotheses and certain submodels are discussed for which the model fitting is computationally convenient. The data of Bliss [1935] illustrates the potential improvement over usual methods in the estimation of critical dose levels.},
  publisher = {[Wiley, International Biometric Society]},
  timestamp = {2017-05-30},
}

@Book{CarlinLouis2000a,
  author    = {Bradley P. Carlin and Thomas A. Louis},
  title     = {{Bayes} and Empirical {Bayes} Methods for Data Analysis},
  year      = {2000},
  edition   = {2},
  publisher = {Chapman and Hall/CRC},
  isbn      = {9781584881704},
  timestamp = {2017-05-30},
}

@Article{Jackman2000a,
  author    = {Simon Jackman},
  title     = {Estimation and inference are missing data problems: unifying social science statistics via {Bayesian} simulation},
  journal   = {Political Analysis},
  year      = {2000},
  volume    = {8},
  number    = {4},
  pages     = {307-332},
  issn      = {10471987, 14764989},
  url       = {http://www.jstor.org/stable/25791616},
  abstract  = {Bayesian simulation is increasingly exploited in the social sciences for estimation and inference of model parameters. But an especially useful (if often overlooked) feature of Bayesian simulation is that it can be used to estimate any function of model parameters, including "auxiliary" quantities such as goodness-of-fit statistics, predicted values, and residuals. Bayesian simulation treats these quantities as if they were missing data, sampling from their implied posterior densities. Exploiting this principle also lets researchers estimate models via Bayesian simulation where maximum-likelihood estimation would be intractable. Bayesian simulation thus provides a unified solution for quantitative social science. I elaborate these ideas in a variety of contexts: these include generalized linear models for binary responses using data on bill cosponsorship recently reanalyzed in Political Analysis, item—response models for the measurement of respondent's levels of political information in public opinion surveys, the estimation and analysis of legislators' ideal points from roll-call data, and outlier-resistant regression estimates of incumbency advantage in U.S. Congressional elections.},
  publisher = {[Oxford University Press, Society for Political Methodology]},
}

@Article{Jackman2001a,
  author    = {Simon Jackman},
  title     = {Multidimensional analysis of roll call data via {Bayesian} simulation: identification, estimation, inference, and model checking},
  journal   = {Political Analysis},
  year      = {2001},
  volume    = {9},
  number    = {3},
  pages     = {227-241},
  issn      = {10471987, 14764989},
  url       = {http://www.jstor.org/stable/25791646},
  publisher = {[Oxford University Press, Society for Political Methodology]},
}

@Article{AlvarezGarrettLange1991a,
  author    = {R. Michael Alvarez and Geoffrey Garrett and Peter Lange},
  title     = {Government partisanship, labor organization, and macroeconomic performance},
  journal   = {The American Political Science Review},
  year      = {1991},
  volume    = {85},
  number    = {2},
  pages     = {539-556},
  issn      = {00030554, 15375943},
  url       = {http://www.jstor.org/stable/1963174},
  publisher = {[American Political Science Association, Cambridge University Press]},
}

@Article{Jackman2005b,
  author    = {Simon Jackman},
  title     = {Pooling the polls over an election campaign},
  journal   = {Australian Journal of Political Science},
  year      = {2005},
  volume    = {40},
  number    = {4},
  month     = {dec},
  pages     = {499--517},
  doi       = {10.1080/10361140500302472},
  publisher = {Informa {UK} Limited},
  timestamp = {2018.04.10},
}

@Article{HanmerKalkan2012a,
  author       = {Hanmer, Michael J. and Kalkan, Kerem Ozan},
  title        = {Behind the curve: clarifying the best approach to calculating predicted probabilities and marginal effects from limited dependent variable models},
  journaltitle = {American Journal of Political Science},
  date         = {2012-07},
  volume       = {57},
  number       = {1},
  pages        = {263--277},
  doi          = {10.1111/j.1540-5907.2012.00602.x},
  publisher    = {Wiley-Blackwell},
  timestamp    = {2017-06-06},
}

@Article{Linzer2013b,
  author    = {Drew A. Linzer},
  title     = {Dynamic {Bayesian} forecasting of presidential elections in the {States}},
  journal   = {Journal of the American Statistical Association},
  year      = {2013},
  volume    = {108},
  number    = {501},
  pages     = {124-134},
  doi       = {10.1080/01621459.2012.737735},
  eprint    = {http://dx.doi.org/10.1080/01621459.2012.737735},
  url       = {http://dx.doi.org/10.1080/01621459.2012.737735},
  timestamp = {2018.04.10},
}

@Article{MangelSamaniego1984a,
  author    = {Marc Mangel and Francisco J. Samaniego},
  title     = {Abraham {Wald's} work on aircraft survivability},
  journal   = {Journal of the American Statistical Association},
  year      = {1984},
  volume    = {79},
  number    = {386},
  pages     = {259-267},
  doi       = {10.1080/01621459.1984.10478038},
  eprint    = {https://www.tandfonline.com/doi/pdf/10.1080/01621459.1984.10478038},
  url       = {https://www.tandfonline.com/doi/abs/10.1080/01621459.1984.10478038},
  publisher = {Taylor \& Francis},
  timestamp = {2018.04.10},
}

@Article{Berger1984a,
  author    = {James O. Berger},
  title     = {Comment},
  journal   = {Journal of the American Statistical Association},
  year      = {1984},
  volume    = {79},
  number    = {386},
  pages     = {267-269},
  doi       = {10.1080/01621459.1984.10478039},
  eprint    = {https://doi.org/10.1080/01621459.1984.10478039},
  url       = {https://doi.org/10.1080/01621459.1984.10478039},
  publisher = {Taylor \& Francis},
  timestamp = {2018.04.10},
}

@article{RobertCasella2011a,
  author = "Robert, Christian and Casella, George",
  doi = "10.1214/10-STS351",
  journaltitle = "Statistical Science",
  month = "02",
  number = "1",
  pages = "102--115",
  publisher = "The Institute of Mathematical Statistics",
  title = "A short history of {Markov} chain {Monte} {Carlo}: subjective recollections from incomplete data",
  url = "https://doi.org/10.1214/10-STS351",
  volume = "26",
  year = "2011"
}

@article{Stigler2018a,
  author = "Stigler, Stephen M.",
  doi = "10.1214/17-STS635",
  journaltitle = "Statistical Science",
  month = "02",
  number = "1",
  pages = "117--125",
  publisher = "The Institute of Mathematical Statistics",
  title = "{Richard} {Price}, the first {Bayesian}",
  url = "https://doi.org/10.1214/17-STS635",
  volume = "33",
  year = "2018"
}

@article{Stigler1983a,
  ISSN = {00031305},
  URL = {http://www.jstor.org/stable/2682766},
  author = {Stephen M. Stigler},
  journal = {The American Statistician},
  number = {4},
  pages = {290--296},
  publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
  title = {Who discovered {Bayes's} theorem?},
  volume = {37},
  year = {1983}
}

@article{Fienberg2006a,
  author = "Fienberg, Stephen E.",
  doi = "10.1214/06-BA101",
  journaltitle = "Bayesian Analysis",
  month = "03",
  number = "1",
  pages = "1--40",
  publisher = "International Society for Bayesian Analysis",
  title = "When did {Bayesian} inference become \"{Bayesian}\"?",
  url = "https://doi.org/10.1214/06-BA101",
  volume = "1",
  year = "2006"
}

@book{Lee2012a,
  author = {Lee, Peter M.},
  title = {{Bayesian} statistics: an introduction},
  editition = {4},
  publisher = {Wiley},
  ISBN = {978-1118332573}
}

@book{Albert2009a,
  author = {Albert, Jim},
  title = {{Bayesian} computation with {R}},
  publisher = {Springer},
  isbn = {978-0-387-92298-0},
  doi = {10.1007/978-0-387-92298-0},
  series = {Use R!}
}

@ARTICLE{Robert2016a,
  author = {Robert, Christian P.},
  title = "The expected demise of the {Bayes} factor",
  journaltitle = {Journal of Mathematical Psychology},
  doi = {https://doi.org/10.1016/j.jmp.2015.08.002},
  year = {2016},
  volume = {72},
  month = {6},
  pages = {33--37}
}

@book{LunnEtAl2012a,
  title = {The {BUGS} book: a practical introduction to {Bayesian} analysis},
  author = {David Lunn and Chris Jackson and Nicky Best and Andrew Thomas and David Spiegelhalter},
  isbn = {9781584888499},
  publisher = {CRC Press},
  series = {Chapman \& Hall/CRC Texts in Statistical Science},
  year = {2012}
}

@misc{wiki-conjugate-priors,
    author = "{Wikipedia contributors}",
    title = "Conjugate prior --- {Wikipedia}{,} The Free Encyclopedia",
    year = "2018",
    url = "https://en.wikipedia.org/w/index.php?title=Conjugate_prior&oldid=835651973",
    note = "[Online; accessed 13-April-2018]"
  }

@misc{Fink1997a,
    author = {Daniel Fink},
    title = {A Compendium of Conjugate Priors},
    year = {1997},
    url = {https://www.johndcook.com//CompendiumOfConjugatePriors.pdf}
}

@article{LeemisMcQueston2008a,
author = {Lawrence M. Leemis and Jacquelyn T. McQueston},
title = {Univariate distribution relationships},
journal = {The American Statistician},
volume = {62},
number = {1},
pages = {45-53},
year  = {2008},
publisher = {Taylor & Francis},
doi = {10.1198/000313008X270448},
URL = { https://doi.org/10.1198/000313008X27044},
eprint = { https://doi.org/10.1198/000313008X270448}

}

@book{ForbesEtAl2010a,
  title = {Statistical distributions},
  edition = {4},
  author = {Forbes, Catherine and Evans, Merran and Hastings, Nicholas and Peacock, Brian},
  year = {2010},
  isbn = {ISBN: 978-0-470-39063-4},
  publisher = {Wiley},
  url = {https://www.wiley.com/en-us/Statistical+Distributions%2C+4th+Edition-p-9781118097823}
}

@book{Asquith2011a,
  title = {Distributional analysis with {L}-moment statistics using the {R} environment for statistical computing},
  author = {Asquith, William H.},
  isbn = {978-1463508418},
  year = {2011},
  pulisher = {CreateSpace Independent Publishing Platform}
}

@book{WimmerAltmann1999a,
  title = {Thesaurus of univariate discrete probability distributions},
  author = {G. Wimmer and G. Altmann},
  publisher = {Stamm},
  year = {1999}
}

@book{JohnsonKotzBalakrishnan1994a,
  title = {Continuous univariate distributions, vol. 1},
  author = {Johnson, Norman L. and Kotz, Samuel and Balakrishnan, N.},
  publisher = {Wiley-Interscience},
  edition = {2},
  year = {1994},
  series = {Wiley Series in Probability and Statistics},
  isbn = {978-0471584957}
}

@book{JohnsonKotzBalakrishnan1995a,
  title = {Continuous univariate distributions, vol. 2},
  author = {Johnson, Norman L. and Kotz, Samuel and Balakrishnan, N.},
  publisher = {Wiley-Interscience},
  edition = {2},
  year = {1995},
  series = {Wiley Series in Probability and Statistics},
  isbn = {978-0471584940}
}

@book{KotzBalakrishnanJohnson2000a,
  title = {Continuous multivariate distributions, volume 1: models and applications},
  author = {Kotz, Samuel and Balakrishnan, N. and Johnson, Norman L.},
  publisher = {Wiley-Interscience},
  edition = {2},
  year = {2000},
  series = {Wiley Series in Probability and Statistics},
  isbn = {978-0471183877}
}

@book{JohnsonKotzBalakrishnan1997a,
  title = {Discrete multivariate distributions},
  author = {Johnson, Norman L. and Kotz, Samuel and Balakrishnan, N.},
  publisher = {Wiley-Interscience},
  edition = {1},
  year = {1997},
  series = {Wiley Series in Probability and Statistics},
  isbn = {978-0471128441}
}

@article{BleiKucukelbirMcAuliffe2017a,
  author = {David M. Blei and Alp Kucukelbir and Jon D. McAuliffe},
  title = {Variational inference: a review for statisticians},
  journal = {Journal of the American Statistical Association},
  volume = {112},
  number = {518},
  pages = {859-877},
  year  = {2017},
  doi = {10.1080/01621459.2017.1285773},
  URL = {https://doi.org/10.1080/01621459.2017.1285773},
  eprint = {https://doi.org/10.1080/01621459.2017.1285773}
}

@ARTICLE{KucukelbirEtAl2015a,
  author = {Kucukelbir, A. and Ranganath, R. and Gelman, A. and Blei, David M.},
  title = "Automatic variational inference in {Stan}",
  journal = {ArXiv e-prints},
  archivePrefix = "arXiv",
  eprint = {1506.03431},
  primaryClass = "stat.ML",
  keywords = {Statistics - Machine Learning},
  year = 2015,
  month = jun,
  url = {https://arxiv.org/abs/1506.03431}
}

@article{SmithGelfand1992a,
   ISSN = {00031305},
   URL = {http://www.jstor.org/stable/2684170},
   author = {A. F. M. Smith and A. E. Gelfand},
   journal = {The American Statistician},
   number = {2},
   pages = {84--88},
   publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
   title = {{Bayesian} statistics without tears: a sampling-resampling perspective},
   volume = {46},
   year = {1992}
}

@article{CarvalhoEtAl2010a,
    author = "Carvalho, Carlos M. and Johannes, Michael S. and Lopes, Hedibert F. and Polson, Nicholas G.",
    doi = "10.1214/10-STS325",
    journaltitle = "Statistical Science",
    month = "02",
    number = "1",
    pages = "88--106",
    publisher = "The Institute of Mathematical Statistics",
    title = "Particle learning and smoothing",
    url = "https://doi.org/10.1214/10-STS325",
    volume = "25",
    year = "2010"
}

@ARTICLE{VehtariGelmanGabry2015a,
    author = {Vehtari, Aki and Gelman, Andrew and Gabry, Jonah},
    title = "{{Pareto} smoothed importance sampling}",
    journal = {ArXiv e-prints},
    archivePrefix = "arXiv",
    eprint = {1507.02646},
    primaryClass = "stat.CO",
    keywords = {Statistics - Computation, Statistics - Methodology},
    year = 2015,
    month = jul,
    url = {https://arxiv.org/abs/1507.02646},
}

@book{Stigler1999a,
  title = {Statistics on the table: the history of statistical concepts and methods},
  author = {Stigler, Stephen M.},
  publisher = {Harvard UP},
  year = {1999},
  ISBN = {978-0674009790}
}

@article{AgrestiCoull1998a,
    ISSN = {00031305},
    URL = {http://www.jstor.org/stable/2685469},
    author = {Alan Agresti and Brent A. Coull},
    journal = {The American Statistician},
    number = {2},
    pages = {119--126},
    publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
    title = {Approximate is better than "exact" for interval estimation of binomial proportions},
    volume = {52},
    year = {1998}
}

@inbook{Gelfand1995a,
  title = {Model determination using sampling-based methods},
  author = {Gelfand, Alan E.},
  book = {{Markov} chain {Monte} {Carlo} in practice},
  editors = {Gilks, W. R. and Richardson, S. and Spiegelhalter, David},
  isbn = {9780412055515},
  year = {1995}
}

@book{Ntzoufras2009a,
  title = {{Bayesian} modeling using {WinBUGS}},
  author = {Ntzoufras, Ioannis},
  year = {2009},
  publisher = {Wiley},
  series = {Wiley Series in Computational Statitistics},
  isbn = {9780470434567},
  doi = {10.1002/9780470434567}
}

@book{Congdon2014a,
  title = {Applied {Bayesian} modelling},
  edition = {2},
  isbn = {978-1-119-95151-3},
  year = {2014},
  author = {Congdon, Peter},
  publisher = {Wiley},
  series = {Wiley Series in Probability and Statistics}
}