betanalpha / mcmc_visualization_toolsLinks
Markov Chain Monte Carlo Visualization Tools
☆25Updated 3 months ago
Alternatives and similar repositories for mcmc_visualization_tools
Users that are interested in mcmc_visualization_tools are comparing it to the libraries listed below
Sorting:
- Book Chapter Drafts☆35Updated last year
- Markov chain Monte Carlo general, and Hamiltonian Monte Carlo specific, diagnostics for Stan☆88Updated 3 months ago
- Self-tuning HMC algorithms and evaluations☆19Updated 11 months ago
- Bayesian Conjugate Models in Python☆32Updated last week
- ☆18Updated 2 years ago
- ArviZ modular plotting☆18Updated last week
- Powerful add-ons for PyMC☆117Updated this week
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Course material for the PhD course in Advanced Bayesian Learning☆59Updated 7 months ago
- Easily combine predictions from multiple Bayesian models using techniques including (pseudo) Bayesian model averaging, hierarchical stack…☆36Updated 10 months ago
- ☆56Updated 3 years ago
- Database with posteriors of interest for Bayesian inference☆209Updated last month
- A Beginner's Guide to Variational Inference☆18Updated 5 months ago
- Mastering Gaussian Processes with PyMC☆12Updated last month
- Exploring and eliciting probability distributions☆152Updated 2 weeks ago
- Python package for multi-signal Bayesian renewal modeling with JAX and NumPyro.☆21Updated this week
- BridgeStan provides efficient in-memory access through Python, Julia, and R to the methods of a Stan model.☆105Updated 3 weeks ago
- Econometrics on the GPU (and CPU) via JAX☆18Updated 2 months ago
- A system for Bayesian estimation of state space models using PyMC☆36Updated 2 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆24Updated last month
- Kullback-Leibler projections for Bayesian model selection in Python☆40Updated last month
- Course materials of "Bayesian Modelling and Probabilistic Programming with Numpyro, and Deep Generative Surrogates for Epidemiology"☆70Updated 7 months ago
- A python package for learning prior distributions based on expert knowledge☆13Updated 2 weeks ago
- Simulation based calibration and generation of synthetic data.☆55Updated 3 weeks ago
- ☆21Updated last year
- Compares Stan, PyMC, and PyMC + JAX numpyro sampler on a model for tennis☆32Updated 2 years ago
- Python implementation of Richard McElreath's Statistical Rethinking 2023 lecture series on causal inference & Bayesian estimation.☆179Updated last year
- This repository contains notebooks with different probability density function estimators.☆13Updated 5 years ago
- Monitor MCMC runs in the browser☆37Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago