aayushmalik / awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
☆106Updated 2 years ago
Related projects: ⓘ
- Educational resources☆98Updated 2 years ago
- Computational Statistics and Statistical Computing☆36Updated 3 years ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆62Updated 2 months 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
- Bayesian Learning course at Stockholm University☆144Updated 3 months ago
- bayes-toolbox☆93Updated 9 months ago
- In which I play with the ideas surrounding causality☆49Updated 2 years ago
- ☆44Updated 4 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆23Updated 4 months ago
- Python code for Computer Age Statistical Inference☆49Updated 5 years ago
- Lecture Notes on Statistical Inference☆73Updated last year
- Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…☆12Updated 3 years ago
- Repository for a workshop on Bayesian Decision Analysis☆64Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆78Updated 9 months ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆87Updated 3 weeks ago
- ☆75Updated this week
- ☆87Updated last week
- 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…☆32Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆44Updated 7 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆55Updated last week
- ☆74Updated 6 years ago
- Materials Collection for Causal Inference☆37Updated last year
- Hidden Markov models in PyMC3☆95Updated 5 months ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆68Updated last week
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆33Updated 2 years ago
- Educational resources related to ArviZ☆17Updated this week
- One day course on causal inference, MPI-EVA 9 September 2021☆242Updated 2 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆114Updated 2 months ago
- Generalized additive models in Python with a Bayesian twist☆76Updated 3 months ago