StatProofBook / StatProofBookToolsLinks
Tools for The Book of Statistical Proofs
☆92Updated 7 months ago
Alternatives and similar repositories for StatProofBookTools
Users that are interested in StatProofBookTools are comparing it to the libraries listed below
Sorting:
- Bayesian Learning course at Stockholm University☆156Updated 3 weeks ago
- Comparisons between best subset selection and other popular sparse regression estimators☆86Updated 2 years ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 5 months ago
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆89Updated last year
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆47Updated last month
- Modern Bayesian statistics, STA 360/602, Duke University, Department of Statistical Science☆75Updated last week
- Accompanying data for my book Advanced Statistics with Application in R☆25Updated 5 years ago
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆128Updated 5 years ago
- Bayesian Causal Forests☆48Updated last year
- ☆45Updated 5 years ago
- A fast and flexible Python package for efficiently solving lasso, elastic net, group lasso, and group elastic net problems.☆54Updated 2 weeks ago
- Lecture Notes on Statistical Inference☆76Updated 10 months ago
- Book Chapter Drafts☆35Updated 11 months ago
- Some teaching material and other educational resources☆41Updated 10 months ago
- Survival analysis workshop using R☆53Updated 6 years ago
- Penalized Sparse Learning Solver - Unleash the Power of Nonconvex Penalty☆76Updated 3 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Implementing MCMC sampling from scratch in R for various Bayesian models☆109Updated last year
- Efficient Algorithms for L0 Regularized Learning☆102Updated last year
- Verty short course on evolutionary game theory☆178Updated 10 months ago
- My notes from class☆71Updated 7 years ago
- ☆38Updated 4 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)☆95Updated 2 years ago
- Source code and data for the tutorial: "Getting started with particle Metropolis-Hastings for inference in nonlinear models"☆28Updated 6 years ago
- ☆56Updated 3 years ago
- Convex optimization for statistics and machine learning☆25Updated last week
- Python code for Computer Age Statistical Inference☆52Updated 6 years ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆115Updated 3 years ago
- Inference case studies in knitr☆168Updated 2 years ago