ecotner / statistical-rethinkingLinks
Following along with Statistical Rethinking text on Bayesian modeling by McElreath
☆66Updated 5 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☆463Updated 6 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- Examples of PyMC models, including a library of Jupyter notebooks.☆355Updated last week
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆181Updated last year
- A resource list for causality in statistics, data science and physics☆266Updated last week
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- Tutorials and sampling algorithm comparisons☆78Updated last week
- An experimental language for causal reasoning☆232Updated 2 weeks ago
- ☆552Updated last year
- ☆42Updated 3 years ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆221Updated last year
- Structural Time Series in JAX☆200Updated last year
- Python library for confidence sequences, sequential testing, e-processes, e-values, and game-theoretic probability.☆74Updated last week
- 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.☆264Updated 2 months ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- ☆126Updated this week
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated 10 months ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 4 years ago
- Neat Bayesian machine learning examples☆58Updated last week
- Materials for STAT 991: Topics In Modern Statistical Learning (UPenn, 2022 Spring) - uncertainty quantification, conformal prediction, ca…☆176Updated last year
- Gaussian process modelling in Python☆225Updated 10 months ago
- In which I put together my thoughts on the practice of data science.☆302Updated 2 years ago
- Educational resources☆105Updated 3 years ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆616Updated last week
- Resources for education in statistics and machine learning: from advanced undergraduate to research level☆103Updated last year
- A library for bayesian variable selection☆31Updated 9 months ago
- A statistical toolkit for scientific discovery using machine learning☆80Updated last year
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- Powerful add-ons for PyMC☆122Updated last week