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Regression - Discriminant Analysis - PCA - Clustering - GMM & EM in R
All Algorithms implemented in Python
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
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bcallaway11 / texreg
Forked from cran/texregConversion of R regression output to LaTeX or HTML tables.
Code corresponding to my research module paper on the Interactive-Effects Estimator.
The lasso implementation using c++ in R shows significant speed improvement. The armadillo library eases the code implementation in C++, since it consists of easy operation using vectors and matrix
Replication data and files for Chen, Christensen, and Tamer (2018): "Monte Carlo Confidence Sets for Identified Sets"
Markov Chain Monte Carlo - Gibbs Sampling and Hamiltonian Monte Carlo
Probability Similation and Gibb Sampling using R, Springer-Verlag, book code
R package for parameter estimation of regime switching time series models using Gibbs sampling.
Bayesian Inference Engine with focus on slice sampling
Applied Economic Forecasting Using Time Series Methods By Eric Ghysels, Massimiliano Marcellino (Python)
❗ This is a read-only mirror of the CRAN R package repository. Bayesthresh — Bayesian thresholds mixed-effects models for categorical data
❗ This is a read-only mirror of the CRAN R package repository. dtp — Dynamic Panel Threshold Model
❗ This is a read-only mirror of the CRAN R package repository. pdR — Threshold Model and Unit Root Tests in Cross-Section and Time Series Data
❗ This is a read-only mirror of the CRAN R package repository. TAR — Bayesian Modeling of Autoregressive Threshold Time Series Models
Replication material for 'Sharp threshold detection based on sup-norm error rates in high-dimensional models'
Experiment scripts for proportional classification with the tmca.classify package
R package for proportional classification and active learning