avehtari / Rhat_ess
Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC
Stars: ✭ 19
Projects that are alternatives of or similar to Rhat ess
Bayesian Analysis Recipes
A collection of Bayesian data analysis recipes using PyMC3
Stars: ✭ 479 (+2421.05%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis, bayesian-statistics, bayesian-methods
Shinystan
shinystan R package and ShinyStan GUI
Stars: ✭ 172 (+805.26%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis, bayesian-statistics, bayesian-methods
Rstanarm
rstanarm R package for Bayesian applied regression modeling
Stars: ✭ 285 (+1400%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis, bayesian-statistics, bayesian-methods
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.
Stars: ✭ 2,177 (+11357.89%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis, bayesian-statistics, bayesian-methods
Bayesian Stats Modelling Tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
Stars: ✭ 480 (+2426.32%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis, bayesian-statistics
Dynamichmc.jl
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Stars: ✭ 172 (+805.26%)
Mutual labels: bayesian-inference, bayesian, bayesian-statistics, bayesian-methods
LogDensityProblems.jl
A common framework for implementing and using log densities for inference.
Stars: ✭ 26 (+36.84%)
Mutual labels: bayesian-methods, bayesian, bayesian-inference, bayesian-data-analysis
Rethinking Pyro
Statistical Rethinking with PyTorch and Pyro
Stars: ✭ 116 (+510.53%)
Mutual labels: bayesian-inference, bayesian-data-analysis, bayesian-statistics, bayesian-methods
DynamicHMCExamples.jl
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Stars: ✭ 33 (+73.68%)
Mutual labels: bayesian, bayesian-inference, bayesian-data-analysis
Autoppl
C++ template library for probabilistic programming
Stars: ✭ 34 (+78.95%)
Mutual labels: bayesian-inference, bayesian, bayesian-statistics
Rstan
RStan, the R interface to Stan
Stars: ✭ 760 (+3900%)
Mutual labels: bayesian-inference, bayesian-data-analysis, bayesian-statistics
Scikit Stan
A high-level Bayesian analysis API written in Python
Stars: ✭ 22 (+15.79%)
Mutual labels: bayesian-inference, bayesian, bayesian-statistics
Probflow
A Python package for building Bayesian models with TensorFlow or PyTorch
Stars: ✭ 95 (+400%)
Mutual labels: bayesian-inference, bayesian-statistics, bayesian-methods
statrethink course in pymc3
Statistical Rethinking course in pymc3
Stars: ✭ 141 (+642.11%)
Mutual labels: bayesian-methods, bayesian, bayesian-inference
Bayadera
High-performance Bayesian Data Analysis on the GPU in Clojure
Stars: ✭ 342 (+1700%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis
Bda py demos
Bayesian Data Analysis demos for Python
Stars: ✭ 781 (+4010.53%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis
geostan
Bayesian spatial analysis
Stars: ✭ 40 (+110.53%)
Mutual labels: bayesian, bayesian-inference, bayesian-statistics
statistical-rethinking-solutions
Solutions of practice problems from the Richard McElreath's "Statistical Rethinking" book.
Stars: ✭ 60 (+215.79%)
Mutual labels: bayesian, bayesian-data-analysis, bayesian-statistics
Bda r demos
Bayesian Data Analysis demos for R
Stars: ✭ 409 (+2052.63%)
Mutual labels: bayesian-inference, bayesian, bayesian-data-analysis
stan-ja
Stanマニュアルの日本語への翻訳プロジェクト
Stars: ✭ 53 (+178.95%)
Mutual labels: bayesian-inference, bayesian-data-analysis
This repository contains tex, code, and online appendix for
Aki Vehtari, Andrew Gelman, Daniel Simpson, Bob Carpenter, Paul-Christian Bürkner (2020): Rank-normalization, folding, and localization: An improved R-hat for assessing convergence of MCMC. Bayesian analysis, accepted for publication. arXiv preprint arXiv:1903.08008.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].