aayushmalik / awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
☆109Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for awesome-bayesian-statistics
- Educational resources☆100Updated 3 years ago
- Computational Statistics and Statistical Computing☆37Updated 3 years ago
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆72Updated last year
- Lecture Notes on Statistical Inference☆74Updated last month
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆63Updated 5 months ago
- ☆83Updated this week
- Bayesian Learning course at Stockholm University☆146Updated 5 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆79Updated 11 months ago
- In which I play with the ideas surrounding causality☆50Updated 2 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆122Updated 4 months ago
- One day course on causal inference, MPI-EVA 9 September 2021☆244Updated 2 years ago
- ☆45Updated 4 years ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆269Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆46Updated 9 months ago
- Bayesian Conjugate Models in Python☆25Updated this week
- ☆88Updated this week
- A collection of visual guides to help applied scientists learn causal inference.☆248Updated 2 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆291Updated last month
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆23Updated this week
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆88Updated 3 years ago
- ☆73Updated 6 years ago
- Distributional Random Forests (Cevid et al., 2020)☆38Updated last year
- This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…☆33Updated last year
- Bayesian Bandits☆66Updated last year
- ☆107Updated 6 months ago
- Hidden Markov models in PyMC3☆97Updated 8 months ago
- Personal solutions to end-of-chapter questions☆13Updated 5 years ago
- Bayesian Causal Forests☆40Updated 6 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆56Updated 2 weeks ago
- Python code for Computer Age Statistical Inference☆49Updated 5 years ago