ecotner / statistical-rethinkingLinks
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
☆65Updated 4 years ago
Alternatives and similar repositories for statistical-rethinking
Users that are interested in statistical-rethinking are comparing it to the libraries listed below
Sorting:
- Statistical Rethinking (2nd ed.) with NumPyro☆461Updated 3 months ago
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆165Updated last year
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- A resource list for causality in statistics, data science and physics☆265Updated last week
- Examples of PyMC models, including a library of Jupyter notebooks.☆340Updated last month
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆210Updated last year
- A python package for penalized generalized linear models that supports fitting and model selection for structured, adaptive and non-conve…☆58Updated 2 years ago
- A package for statistically rigorous scientific discovery using machine learning. Implements prediction-powered inference.☆253Updated 2 months ago
- Public dataset repository for the Causal Chamber Project☆42Updated last month
- Materials of the Nordic Probabilistic AI School 2022.☆181Updated 2 years ago
- An experimental language for causal reasoning☆220Updated 3 weeks ago
- ☆42Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆75Updated this week
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆173Updated last year
- ☆539Updated last year
- ☆121Updated last week
- A statistical toolkit for scientific discovery using machine learning☆79Updated last year
- Materials for DATS0001 Foundations of Data Science, ULiège☆44Updated 8 months ago
- Structural Time Series in JAX☆199Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 7 months ago
- Neat Bayesian machine learning examples☆58Updated last month
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated last week
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆29Updated 2 years ago
- Material for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023☆171Updated last year
- Figures and code examples from Bayesian Analysis with Python (third edition)☆203Updated last week
- Recursive Bayesian Estimation (Sequential / Online Inference)☆59Updated last year
- Educational resources☆104Updated 3 years ago
- State of the art inference for your bayesian models.☆220Updated 3 months ago
- In which I put together my thoughts on the practice of data science.☆298Updated last year