aayushmalik / awesome-bayesian-statistics
A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.
☆113Updated 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
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Educational resources☆104Updated 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
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆22Updated this week
- Lecture Notes on Statistical Inference☆76Updated 6 months ago
- Powerful add-ons for PyMC☆99Updated this week
- bayes-toolbox☆92Updated 5 months ago
- In which I play with the ideas surrounding causality☆52Updated 2 years ago
- Bayesian Learning course at Stockholm University☆151Updated 10 months ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆91Updated 8 months ago
- Bayesian Bandits☆68Updated last year
- Awesome papers on Missing Data☆13Updated 4 years ago
- ☆110Updated last week
- Bayesian inference and posterior analysis for Python☆44Updated last year
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆271Updated 3 years ago
- Hidden Markov models in PyMC3☆99Updated last year
- One day course on causal inference, MPI-EVA 9 September 2021☆244Updated 3 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆34Updated 5 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆51Updated 5 months ago
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 2 months ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆24Updated 5 months ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆81Updated 4 months ago
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆68Updated 10 months 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 2 months ago
- A curated list of awesome Bayesian statistics blogs and resources☆22Updated last year
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆87Updated last year
- Database with posteriors of interest for Bayesian inference☆195Updated this week
- 🪜 Bayesian Hierarchical Models at Scale☆52Updated 3 years ago
- Personal solutions to end-of-chapter questions☆13Updated 5 years ago
- Exploring and eliciting probability distributions☆133Updated this week