gibbs
There are 25 repositories under gibbs topic.
stablemarkets/BayesianTutorials
Implementing MCMC sampling from scratch in R for various Bayesian models
m-clark/bayesian-basics
:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.
vsmolyakov/ml
machine learning
MikeS96/bayes_statististics
Bayesian Statistics MOOC by Coursera - Solutions in Python
patrikeh/go-topics
Latent Dirichlet Allocation
ipqa-research/ugropy
A Python library designed to swiftly and effortlessly obtain the UNIFAC-like groups from molecules by their names and subsequently integrate them into inputs for thermodynamic libraries. UNIFAC, PSRK, and Joback models are implemented.
TEOS-10/GSW-R
R implementation of the Thermodynamic Equation Of Seawater - 2010 (TEOS-10)
paulnorthrop/bang
Bayesian Analysis, No Gibbs
CDCgov/RSTr
Rate Stabilizing Tool R Package: Gibbs Samplers for Bayesian Spatiotemporal CAR Models
efmanu/GibbsSampler.jl
Package to do Bayesian inference with Gibbs sampler
ax1ine/GSW.jl
Julia implementation of TEOS-10 GSW based on wrappers of GSW-C
DavidSolan0/bayesian_spatial_process_models_social_network_analysis
This repo contains the codes in R and Cpp to replicate the original proposal of Linkletter for Bayesian Spatial Process Models for Social Network Analysis and our proposal using an estimation of the likelihood function.
lizhongc/IBGS
The iterated block Gibbs sampler algorithm
lizhongc/Simulation-for-Variable-selection-in-high-dimension-via-Gibbs-sampler
Here is the simulation data for Variable selection in high dimension via Gibbs sampler
stopdemir/Gibbs-Sampling-EM-Algorithm-Implementation-
Gibbs Sampling & EM Algorithm Implementation / R Programming Language / on Iris Dataset
abrasseu/mt94-applied-maths
Rapport pour l'enseignement de Mathématiques appliquées suivi à l'UTC
gibbs-hmm/Gibbs-Motif-Sampler
Gibbs 3.2 formerly located at http://ccmbweb.ccv.brown.edu/gibbs/gibbs.html
James-Montgomery/romus
A fun package for exploring conjugate models and gibbs samplers.
MaxSoneback/gibbs
Implementing a Skill-based rating system using probabilistic modelling and Gibbs sampling
PCMDEBRUIN/Incident-series
Supplementary material to the research thesis "The forensic statistical analysis of incident series" by Patricia de Bruin.
PietroDomi/bayesian-probit-mcmc
Notebook for implementing Monte Carlo techniques (Metropolis-Hastings and Augmented Gibbs) to solve a Bayesian Probit regression.
oya163/gibbs
Unsupervised morpheme segmentation using non-parametric bayesian model. Web app deployed on AWS Elastic Beanstalk using Github Actions.