Edderic / statistical-rethinking-python-solutionsLinks
Personal solutions to end-of-chapter questions
☆13Updated 6 years ago
Alternatives and similar repositories for statistical-rethinking-python-solutions
Users that are interested in statistical-rethinking-python-solutions are comparing it to the libraries listed below
Sorting:
- Educational resources☆105Updated 4 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆97Updated 4 years ago
- StanCon2018 Helsinki Tutorial☆30Updated 6 years ago
- Inference case studies in knitr☆171Updated 3 years ago
- One day course on causal inference, MPI-EVA 9 September 2021☆251Updated 4 years ago
- ☆92Updated 3 weeks ago
- Probability and Statistics: a simulation-based introduction. An open-access book.☆323Updated 2 years ago
- Case studies on model assessment, model selection and inference after model selection☆170Updated 2 years ago
- Database with posteriors of interest for Bayesian inference☆212Updated this week
- Regression and other stories R examples☆350Updated 8 months ago
- Inference case studies in jupyter☆93Updated 7 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 3 weeks ago
- Statistical Rethinking course in pymc3☆144Updated 5 years ago
- My solutions to the exercises in "Data Analysis Using Regression and Multilevel/Hierarchical Models" by Andrew Gelman and Jennifer Hill☆82Updated 6 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆57Updated 8 months ago
- Stan models for state space time series☆146Updated 8 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last month
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆75Updated 2 years ago
- Python port of "Common statistical tests are linear models" by Jonas Kristoffer Lindeløv.☆97Updated last year
- Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.☆62Updated 7 years ago
- Working through "Regression and other stories," one chapter at a time☆57Updated 2 years ago
- Drawing graphical models for causal inference using LaTeX☆119Updated 2 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 9 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 11 months ago
- Solutions for the practice problems☆146Updated 5 years ago
- Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.☆20Updated 6 years ago
- code and demo for hierarchical stacking paper☆10Updated 4 years ago
- ☆30Updated last year
- ☆81Updated 4 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated last month