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20122026
most citedJAGS, NIMBLE, Stan: a detailed comparison among Bayesian MCMC software

10 citations · 34 across the 20 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

stat.ME2022★ 1 cited

Clustering blood donors via mixtures of product partition models with covariates

Raffaele Argiento, Riccardo Corradin, Alessandra Guglielmi +1

Motivated by the problem of accurately predicting gap times between successive blood donations, we present here a general class of Bayesian nonparametric models for clustering. The…

stat.ME2022★ 3 cited

Bayesian Functional Emulation of CO2 Emissions on Future Climate Change Scenarios

Luca Aiello, Matteo Fontana, Alessandra Guglielmi

We propose a statistical emulator for a climate-economy deterministic integrated assessment model ensemble, based on a functional regression framework. Inference on the unknown par…

stat.ME2022

Bayesian modeling and clustering for spatio-temporal areal data: An application to Italian unemployment

Alexander Mozdzen, Andrea Cremaschi, Annalisa Cadonna +2

Spatio-temporal areal data can be seen as a collection of time series which are spatially correlated according to a specific neighboring structure. Incorporating the temporal and s…

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.AP2022

Bayesian Nonparametric Vector Autoregressive Models via a Logit Stick-breaking Prior: an Application to Child Obesity

Mario Beraha, Alessandra Guglielmi, Fernando A. Quintana +3

Overweight and obesity in adults are known to be associated with risks of metabolic and cardiovascular diseases. Because obesity is an epidemic, increasingly affecting children, it…