alexandrahotti / Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-LambertLinks
My solutions to the assignments in the book: "A Student’s Guide to Bayesian Statistics" by Ben Lambert.
☆70Updated last year
Alternatives and similar repositories for Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert
Users that are interested in Solutions-to-A-Students-Guide-to-Bayesian-Statistics-by-Ben-Lambert are comparing it to the libraries listed below
Sorting:
- Statistical Rethinking (2nd Ed) with Tensorflow Probability☆272Updated 3 years ago
- ☆540Updated last year
- Bayesian Analysis with Python - Second Edition, published by Packt☆134Updated 4 years ago
- PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3☆160Updated 5 years ago
- ☆232Updated 3 years ago
- ☆45Updated 5 years ago
- Bayesian Learning course at Stockholm University☆156Updated 3 weeks ago
- Statistical Rethinking course in pymc3☆143Updated 5 years ago
- legend☆207Updated last year
- An introduction to Bayesian statistics using Python and (coming soon) R.☆134Updated last year
- Repository containing the code of the projects presented in my personal website.☆42Updated this week
- Examples of PyMC models, including a library of Jupyter notebooks.☆344Updated 2 weeks ago
- ☆240Updated 7 years ago
- Lecture Notes on Statistical Inference☆76Updated 10 months ago
- Figures and code examples from Bayesian Analysis with Python (third edition)☆207Updated last week
- Workshop on Bayesian inference using PyMC☆27Updated 4 years ago
- Repository for a workshop on Bayesian Decision Analysis☆71Updated 2 years ago
- A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)☆165Updated 3 years ago
- Educational resources☆104Updated 3 years ago
- Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how☆72Updated 5 years ago
- A resource list for causality in statistics, data science and physics☆265Updated 3 weeks ago
- Notes, exercises and other materials related to causal inference, causal discovery and causal ML.☆143Updated 3 weeks ago
- A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.☆115Updated 3 years ago
- Presented at Scipy Conference 2019☆127Updated 5 years ago
- In which I play with the ideas surrounding causality☆53Updated 3 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆167Updated last year
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- Preparation materials for CEAi Precision Workshop #1 on Bayesian modelling☆58Updated 7 years ago
- Bayesian Analysis with Python by Packt☆218Updated 2 years ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago