mattiasvillani / AdvBayesLearnCourseLinks
Course material for the PhD course in Advanced Bayesian Learning
☆60Updated 9 months ago
Alternatives and similar repositories for AdvBayesLearnCourse
Users that are interested in AdvBayesLearnCourse are comparing it to the libraries listed below
Sorting:
- Home for the book-in-progress 'Bayesian Learning'☆28Updated last month
- Bayesian Learning course at Stockholm University☆157Updated last month
- Database with posteriors of interest for Bayesian inference☆212Updated 3 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆106Updated 3 weeks ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last week
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆89Updated 5 months ago
- Some teaching material and other educational resources☆41Updated 3 months ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆37Updated this week
- Book Chapter Drafts☆37Updated last year
- ☆18Updated 2 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆97Updated 4 years ago
- ☆31Updated 5 years ago
- Port of Statistical Rethinking (2nd edition) code to Julia☆137Updated 3 years ago
- Self-tuning HMC algorithms and evaluations☆19Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆84Updated 9 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆33Updated 2 years ago
- Lectures on Quantitative Economics Using JAX☆47Updated this week
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 10 months ago
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- ☆18Updated 2 years ago
- Julia code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins☆52Updated 3 years ago
- ☆15Updated 6 years ago
- ☆56Updated 3 years ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated last week
- A simple library to run variational inference on Stan models.☆33Updated 2 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆49Updated 5 months ago
- A python package for learning prior distributions based on expert knowledge☆15Updated last month
- Bayesian inference and posterior analysis for Python☆46Updated 2 years ago