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Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

RStan, the R interface to Stan

Bda_py_demos ⭐ 851

Bayesian Data Analysis demos for Python

Tidybayes ⭐ 689

Bayesian analysis + tidy data + geoms (R package)

Statistical Rethinking With Python And Pymc3 ⭐ 674

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Bayesian Stats Modelling Tutorial ⭐ 601

How to do Bayesian statistical modelling using numpy and PyMC3

Dbda Python ⭐ 543

Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code

Bda_r_demos ⭐ 538

Bayesian Data Analysis demos for R

Bayesian Analysis Recipes ⭐ 510

A collection of Bayesian data analysis recipes using PyMC3

Rstanarm ⭐ 371

rstanarm R package for Bayesian applied regression modeling

Shinystan ⭐ 181

shinystan R package and ShinyStan GUI

loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference

Rethinking Pyro ⭐ 90

Statistical Rethinking with PyTorch and Pyro

Pymc Example Project ⭐ 87

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Bayesian Basics ⭐ 61

🚫 ↩️ A document that introduces Bayesian data analysis.

Stanマニュアルの日本語への翻訳プロジェクト

Bayes Vis Paper ⭐ 49

'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)

Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python

Priorsense ⭐ 44

priorsense: an R package for prior diagnostics and sensitivity

Rstantools ⭐ 44

Tools for Developing R Packages Interfacing with Stan

Bda_m_demos ⭐ 42

Bayesian Data Analysis demos for Matlab/Octave

Bayesian multilevel mediation models in R

Dynamichmcexamples.jl ⭐ 37

Examples for Bayesian inference using DynamicHMC.jl and related packages.

Bayesian Cost Effectiveness Analysis. Given the results of a Bayesian model (possibly based on MCMC) in the form of simulations from the posterior distributions of suitable variables of costs and clinical benefits for two or more interventions, produces a health economic evaluation. Compares one of the interventions (the "reference") to the others ("comparators"). Produces many summary and plots to analyse the results

Logdensityproblems.jl ⭐ 34

A common framework for implementing and using log densities for inference.

Make a sweet giant triangle confusogram (GTC) plot

Statistical Rethinking Solutions ⭐ 26

Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.

Inference Tools ⭐ 26

Python tools for Bayesian data analysis

Kissabc.jl ⭐ 22

Pure julia implementation of Multiple Affine Invariant Sampling for efficient Approximate Bayesian Computation

Rhat_ess ⭐ 22

Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC

Chronikis ⭐ 19

A compiler for Bayesian time series models.

Biguq.jl ⭐ 17

Bayesian Information Gap Decision Theory

Datasets and models included in the book "An Introduction to Bayesian Data Analysis for Cognitive Science".

Bayesian Data Analysis ⭐ 12

Berlin Bayesians' solutions to Bayesian Data Analysis, 3rd edition.

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Dcss_supplementary ⭐ 10

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

Fast Bayesian Hidden Markov Model with Wavelet Compression

Framework for conducting Bayesian analyses

Hierarchical Model of Species Communities (HMSC) is an R package, which provides extensive set of analytical tools devised for numerical analysis of data on ecological communities or other similarly structured data. The methodological core of the HMSC approach is centered on combination of hierarchical regression and latent factor models.

Bayesian Modeling ⭐ 9

Case studies with Bayesian methods

Shot Generation ⭐ 8

Bayesian modelling of shot generation and conversion in soccer

Shinybrms ⭐ 7

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Simulator Expansion for Likelihood-Free Inference (SELFI): a python implementation

Following "Doing Bayesian Data Analysis", in python

This R package is a set of tools for Bayesian analysis of categorical data, specifically 2×2 contingency tables.

Dixon Coles Worldcup ⭐ 6

Undermining the integrity of an office prediction contest

Pymc Advi Hmc Demo ⭐ 5

Demonstrating HMC and ADVI algorithms for Bayesian data analysis using PYMC3.

1-48 of 48 search results

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