gibbs

Implementing MCMC sampling from scratch in R for various Bayesian models

🚫 ↩️ A document that introduces Bayesian data analysis.

machine learning

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, Joback, and Abdulelah-Gani models are implemented.

Bayesian Statistics MOOC by Coursera - Solutions in Python

Latent Dirichlet Allocation

Gibbs-SeaWater (GSW) Oceanographic Toolbox in Fortran

R implementation of the Thermodynamic Equation Of Seawater - 2010 (TEOS-10)

Bayesian Analysis, No Gibbs

Rate Stabilizing Tool R Package: Gibbs Samplers for Bayesian Spatiotemporal CAR Models

Package to do Bayesian inference with Gibbs sampler

R implementation of a Bayesian Metropolis Hastings-within-Gibbs sampler for the Delaporte distribution, with stable latent updates, diagnostics, and reproducible examples.

Gibbs 3.2 formerly located at http://ccmbweb.ccv.brown.edu/gibbs/gibbs.html

Julia implementation of TEOS-10 GSW based on wrappers of GSW-C

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.

Iterated Block Gibbs Sampler for ultrahigh-dimensional variable selection and model averaging

Gibbs Sampling & EM Algorithm Implementation / R Programming Language / on Iris Dataset

Here is the simulation data for Variable selection in high dimension via Gibbs sampler

A fun package for exploring conjugate models and gibbs samplers.