StatProofBook / StatProofBookTools
Tools for The Book of Statistical Proofs
☆81Updated last month
Related projects ⓘ
Alternatives and complementary repositories for StatProofBookTools
- Course material for the PhD course in Advanced Bayesian Learning☆56Updated this week
- Bayesian Learning course at Stockholm University☆146Updated 5 months ago
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆85Updated 10 months ago
- Computational Statistics and Statistical Computing☆37Updated 3 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆43Updated 10 months ago
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆123Updated 5 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆106Updated 11 months ago
- Inference case studies in knitr☆164Updated 2 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 8 years ago
- sgmcmc: a stochastic gradient MCMC package for R☆29Updated 4 years ago
- Home for the book-in-progress 'Bayesian Learning'☆28Updated 2 months ago
- Train deepGLM with Matlab, R and Python☆27Updated last year
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- Bayesian Causal Forests☆40Updated 5 months ago
- Lecture Notes on Statistical Inference☆74Updated 3 weeks ago
- A complete environment for Bayesian inference within R☆92Updated 7 months ago
- Convex optimization for statistics and machine learning☆13Updated 2 months ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated last year
- Course material for Bayesian and Modern Statistics, STA601, Duke University, Spring 2015.☆20Updated 8 years ago
- Kentaro Matsuura (2023). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.☆133Updated 4 months ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆94Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆58Updated 4 years ago
- ☆45Updated 4 years ago
- Unbiased Markov chain Monte Carlo with couplings☆29Updated 2 years ago
- Path algorithm for generalized lasso problems☆32Updated last year
- Materials Collection for Causal Inference☆40Updated last year
- Accompanying data for my book Advanced Statistics with Application in R☆23Updated 5 years ago
- Tools for conformal inference in regression☆221Updated 2 months ago
- ☆31Updated 2 years ago
- My notes from class☆58Updated 6 years ago