bayesian-data-analysis
There are 162 repositories under bayesian-data-analysis topic.
stan-dev/stan
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.
avehtari/BDA_course_Aalto
Bayesian Data Analysis course at Aalto
stan-dev/rstan
RStan, the R interface to Stan
avehtari/BDA_py_demos
Bayesian Data Analysis demos for Python
aloctavodia/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
mjskay/tidybayes
Bayesian analysis + tidy data + geoms (R package)
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
ericmjl/bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
avehtari/BDA_R_demos
Bayesian Data Analysis demos for R
ericmjl/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
stan-dev/rstanarm
rstanarm R package for Bayesian applied regression modeling
uncomplicate/bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
stan-dev/shinystan
shinystan R package and ShinyStan GUI
fehiepsi/rethinking-pyro
Statistical Rethinking with PyTorch and Pyro
arviz-devs/preliz
Exploring and eliciting probability distributions
stan-dev/loo
loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)
xfim/ggmcmc
Graphical tools for analyzing Markov Chain Monte Carlo simulations from Bayesian inference
AlexIoannides/pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
vasishth/bayescogsci
Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
Montanaz0r/Bayesian-Statistics-The-Fun-Way
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
ericmjl/bayesian-stats-talk
Doing Bayesian statistics in Python!
n-kall/priorsense
priorsense: an R package for prior diagnostics and sensitivity
avehtari/BDA_m_demos
Bayesian Data Analysis demos for Matlab/Octave
jgabry/bayes-vis-paper
'Visualization in Bayesian workflow' by Gabry, Simpson, Vehtari, Betancourt, and Gelman. (JRSS discussion paper and code)
stan-ja/stan-ja
Stanマニュアルの日本語への翻訳プロジェクト
jffist/statistical-rethinking-solutions
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
stan-dev/rstantools
Tools for Developing R Packages Interfacing with Stan
giabaio/BCEA
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
bikestra/bdapy
Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python
mvuorre/bmlm
Bayesian multilevel mediation models in R
tpapp/LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
tpapp/DynamicHMCExamples.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
SebastianBocquet/pygtc
Make a sweet giant triangle confusogram (GTC) plot
avehtari/rhat_ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
C-bowman/inference-tools
Python tools for Bayesian data analysis