StatProofBook / StatProofBook.github.ioLinks
The Book of Statistical Proofs
☆397Updated last week
Alternatives and similar repositories for StatProofBook.github.io
Users that are interested in StatProofBook.github.io are comparing it to the libraries listed below
Sorting:
- Database with posteriors of interest for Bayesian inference☆212Updated this week
- Materials of the Nordic Probabilistic AI School 2024.☆64Updated last year
- Tools for The Book of Statistical Proofs☆97Updated last week
- Bayesian statistics graduate course☆362Updated 3 months ago
- This is a community-driven collection of resources around amortized inference.☆56Updated 2 weeks ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆50Updated 6 months ago
- Verty short course on evolutionary game theory☆183Updated last year
- LaTeX package and annotated examples for annotating equations using TikZ.☆572Updated last year
- Following along with Statistical Rethinking text on Bayesian modeling by McElreath☆70Updated 5 years ago
- Interactive Markov-chain Monte Carlo Javascript demos☆907Updated 2 weeks ago
- App to view distribution properties and access dynamic code in R, Python, Matlab, Mathematica, Julia and Stan☆92Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆26Updated 6 months ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- A Python package for probabilistic state space modeling with JAX☆918Updated last month
- R Markdown notes for Peter D. Hoff, "A First Course in Bayesian Statistical Methods"☆131Updated 6 years ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 3 weeks ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆269Updated 5 months ago
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Updated last year
- Statistical Rethinking Course 2026☆381Updated this week
- Book Chapter Drafts☆37Updated last year
- Exercise solutions and explanations for the book Probability Theory: The Logic of Science by E.T. Jaynes. Created by the reading group at…☆62Updated 4 years ago
- A python package for learning prior distributions based on expert knowledge☆15Updated 2 months ago
- Tools for conformal inference in regression☆251Updated last year
- Unofficial solutions for Introduction to Probability, Second Edition by Joseph Blitzstein and Jessica Hwang.☆128Updated last month
- ☆194Updated 2 years ago
- A collection of visual guides to help applied scientists learn causal inference.☆295Updated 3 years ago
- Advanced LTCC course in StatisticsThis course will provide an overview of Monte Carlo methods when used for problems in Statistics. After…☆33Updated 3 years ago
- A Python library for amortized Bayesian workflows using generative neural networks.☆630Updated this week
- Bayesian Learning course at Stockholm University☆157Updated last month
- Efficient, lightweight variational inference and approximation bounds☆46Updated 3 months ago