mattiasvillani / AdvBayesLearnCourseLinks
Course material for the PhD course in Advanced Bayesian Learning
☆59Updated 5 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 2 months ago
- Bayesian Learning course at Stockholm University☆155Updated last week
- Database with posteriors of interest for Bayesian inference☆204Updated 2 months ago
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆86Updated 3 weeks ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 3 years ago
- Book Chapter Drafts☆35Updated 10 months ago
- ☆30Updated 4 years ago
- Some teaching material and other educational resources☆41Updated 9 months ago
- Kullback-Leibler projections for Bayesian model selection in Python☆38Updated 3 months ago
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆102Updated last month
- some scripts for the couplings enthusiasts!☆32Updated 5 years ago
- Source files for the book "Bayesian Workflow Using Stan"☆96Updated 3 years ago
- A simple library to run variational inference on Stan models.☆32Updated 2 years ago
- Bayesian Regression Models in Pyro☆72Updated last year
- ☆56Updated 2 years ago
- ☆18Updated 2 years ago
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Draft introduction to probability and inference aimed at the Stan manual.☆85Updated 9 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆47Updated 3 weeks ago
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆66Updated 5 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆35Updated 8 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 9 months ago
- Inference case studies in jupyter☆93Updated 6 years ago
- ☆15Updated 5 years ago
- Bayesian Causal Forests☆48Updated last year
- This tutorial is a basic guide to understanding the Zig-Zag Sampling method. This document is released with the aim of diffusion and shar…☆21Updated 6 years ago
- R-package for building and fitting Bayesian ODE models in Stan☆28Updated 10 months ago
- stan2tfp is a lightweight interface to the TensorFlow Probability backend of the Stan compiler. It provides the necessary objects and fun…☆25Updated 3 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆67Updated 4 years ago