Welcome! In this course, we will build up "spike-and-slab" type priors from linear models, to generalized additive models (GAMs), to nonlinear nonadditive models.
Slides and code will be stored in this repository for you to follow along.
R
code for model selection with spike-and-slab priors is given inSpikeSlabExample.R
.- Slides for the linear/additive/non-BART models is given in
HDbayesianModeling.pdf
. - Materials for replicating the results from the BART part of the course are in the folder
BartMaterials/
. The idea is to start from the file01-Install.R
and go in numerical order. - Slides for the BART part of the course are in
TreeVarSel.pdf
.