aayushmalik / awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
☆112Updated 3 years ago
Alternatives and similar repositories for awesome-bayesian-statistics:
Users that are interested in awesome-bayesian-statistics are comparing it to the libraries listed below
- Educational resources☆104Updated 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…☆73Updated last year
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆90Updated 6 months ago
- Gaussian Process Model Building Interface☆50Updated 3 months ago
- Lecture Notes on Statistical Inference☆75Updated 4 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 3 months ago
- One day course on causal inference, MPI-EVA 9 September 2021☆244Updated 3 years ago
- In which I play with the ideas surrounding causality☆51Updated 2 years ago
- Python code for Computer Age Statistical Inference☆51Updated 5 years ago
- bayes-toolbox☆93Updated 2 months ago
- Bayesian Conjugate Models in Python☆25Updated last week
- Bayesian Learning course at Stockholm University☆150Updated 8 months ago
- ☆41Updated 2 years ago
- ☆102Updated this week
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆82Updated this week
- ☆72Updated 6 years ago
- 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
- ☆93Updated last week
- Powerful add-ons for PyMC☆96Updated this week
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 3 months ago
- Materials Collection for Causal Inference☆43Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆80Updated 2 months ago
- Exploring and eliciting probability distributions☆115Updated this week
- ☆45Updated 4 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆49Updated 2 months ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆143Updated 7 months ago
- Database with posteriors of interest for Bayesian inference☆189Updated 6 months ago