2 papers
stat.CO2022
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…
stat.ME2021
Gaussian graphical modeling for spectrometric data analysis
Laura Codazzi, Alessandro Colombi, Matteo Gianella +3
Motivated by the analysis of spectrometric data, we introduce a Gaussian graphical model for learning the dependence structure among frequency bands of the infrared absorbance spec…