storopoli / Bayesian-Statistics
Bayesian statistics graduate course
☆349Updated 4 months ago
Alternatives and similar repositories for Bayesian-Statistics:
Users that are interested in Bayesian-Statistics are comparing it to the libraries listed below
- JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"☆144Updated 4 years ago
- Verty short course on evolutionary game theory☆176Updated 5 months ago
- ☆514Updated 9 months ago
- One day course on causal inference, MPI-EVA 9 September 2021☆244Updated 3 years ago
- ☆107Updated 10 months ago
- Bayesian Learning course at Stockholm University☆151Updated 9 months ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆112Updated 3 years ago
- Python for Data Science. This repository hosts the code behind the online book that teaches you how to use Python for data science.☆132Updated last month
- Lecture Notes on Statistical Inference☆75Updated 4 months ago
- Dynamic Programming Volume 1☆109Updated 10 months ago
- A resource list for causality in statistics, data science and physics☆263Updated 3 weeks ago
- ☆111Updated this week
- Applied Time Series Analysis and Forecasting☆166Updated last year
- My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.☆67Updated 8 months ago
- A tutorial for setting a new machine with core data science tools☆290Updated 2 months ago
- Bayesian Statistics using Julia and Turing☆167Updated 4 months ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆180Updated last month
- Examples of PyMC models, including a library of Jupyter notebooks.☆312Updated 2 weeks ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆148Updated 8 months ago
- ☆480Updated last year
- Source for book "Feature Engineering A-Z"☆137Updated this week
- Handbook of Graphs and Networks in People Analytics☆115Updated 10 months ago
- Book on Julia for Data Science☆484Updated last week
- Kentaro Matsuura (2022). Bayesian Statistical Modeling with Stan, R, and Python. Springer, Singapore.☆135Updated last month
- Port of Statistical Rethinking (2nd edition) code to Julia☆130Updated 2 years ago
- Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Ret…☆74Updated last year
- Julia Programming for Machine Learning course at TU Berlin☆243Updated 3 months ago
- A collection of visual guides to help applied scientists learn causal inference.☆256Updated 2 years ago
- ISLP package: data and code for labs☆130Updated 2 months ago
- MIT_18.S097☆125Updated last year