NPBayesHMM
MCMC toolbox
Software toolbox for Bayesian inference on sequential data using Markov chain Monte Carlo methods.
Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP-HMM). Implemented in Matlab.
79 stars
16 watching
34 forks
Language: Matlab
last commit: over 8 years agoLinked from 1 awesome list
uhub/awesome-matlabRelated projects:
| Repository | Description | Stars |
|---|---|---|
 brian-j-smith/mamba.jl | A platform for implementing and applying Markov chain Monte Carlo methods to Bayesian analysis | 255 |
 mcleonard/sampyl | An MCMC sampler library for Bayesian estimation using Python | 331 |
 qiuqiangkong/matlab-hmm | An HMM toolbox providing tools for modeling and analyzing different types of hidden Markov models in MATLAB. | 77 |
 mattjj/pyhsmm | A Python library providing approximate inference methods for Bayesian Hidden Markov Models and their extensions. | 549 |
 doobwa/mcmc.jl | MCMC algorithms implemented in Julia for Bayesian modeling | 35 |
 acerbilab/vbmc | An approximate Bayesian inference method for fitting and evaluating complex computational models with limited resources. | 219 |
 mjlaine/mcmcstat | A Matlab toolbox for Bayesian analysis using Markov chain Monte Carlo simulation | 88 |
 nilswinter/matlab-bayesian-estimation | A Matlab toolbox for Bayesian estimation and model comparison using MCMC methods | 42 |
 dfm/emcee | A Python toolkit for ensemble sampling in Markov chain Monte Carlo (MCMC) methods | 1,478 |
 avehtari/bda_m_demos | Demos and implementations of Bayesian data analysis concepts using Matlab/Octave | 62 |
 rlouf/mcx | Tools and methods for Bayesian deep learning using probabilistic programming. | 328 |
 maxsklar/bayespy | A Python library for Bayesian inference and multinomial mixture modeling | 108 |
 bayesnet/bnt | Provides a set of tools and algorithms for Bayesian networks in MATLAB | 470 |
 amazaspshumik/sklearn-bayes | A collection of Python packages implementing Bayesian machine learning algorithms with scikit-learn API | 514 |
 camdavidsonpilon/probabilistic-programming-and-bayesian-methods-for-hackers | An introduction to Bayesian methods and probabilistic programming for software developers | 26,868 |