10 citations · 21 across the 18 of their papers we have counts for
3 papers · 1 filter
BayesMix: Bayesian Mixture Models in C++
Mario Beraha, Bruno Guindani, Matteo Gianella +1
We describe BayesMix, a C++ library for MCMC posterior simulation for general Bayesian mixture models. The goal of BayesMix is to provide a self-contained ecosystem to perform infe…
Bayesian nonparametric model based clustering with intractable distributions: an ABC approach
Mario Beraha, Riccardo Corradin
Bayesian nonparametric mixture models offer a rich framework for model based clustering. We consider the situation where the kernel of the mixture is available only up to an intrac…
JAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software
Mario Beraha, Daniele Falco, Alessandra Guglielmi
The aim of this work is the comparison of the performance of the three popular software platforms JAGS, NIMBLE and Stan. These probabilistic programming languages are able to autom…