BERAHA, MARIO

BERAHA, MARIO  

DIPARTIMENTO DI MATEMATICA  

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Risultati 1 - 12 di 12 (tempo di esecuzione: 0.015 secondi).
Titolo Data di pubblicazione Autori File
A Bayesian model for network flow data: an application to BikeMi trips 1-gen-2019 BERAHA, MARIOGuglielmi A. +
A Bayesian model to induce dependence between mixtures 1-gen-2020 M. BerahaM. PegoraroR. PeliA. Guglielmi
A transdimensional MCMC sampler for spatially dependent mixture models 1-gen-2021 Guglielmi A.Beraha M.Gianella M.Pegoraro M.Peli R.
Anisotropic determinantal point processes and their application in Bayesian mixtures 1-gen-2021 Beraha M.Guglielmi A. +
Choosing the right tool for the job: a systematic analysis of general purpose MCMC software 1-gen-2020 M. BerahaG. GualtieriE. VillaR. VitaliA. Guglielmi
Feature Selection via Mutual Information: New Theoretical Insights 1-gen-2019 Beraha M.Metelli A. M.Papini M.Tirinzoni A.Restelli M.
Invited discussion on ``Latent nested nonparametric priors'' by Camerlenghi F., Dunson D. B., Lijoi A., Prunster I. and Rodriguez A., Bayesian Analysis 1-gen-2019 Mario BerahaAlessandra Guglielmi
MCMC computations for Bayesian mixture models using repulsive point processes 1-gen-2022 Mario BerahaAlessandra Guglielmi +
Repulsive mixture models for high-dimensional data 1-gen-2022 Beraha M.Guglielmi A. +
Spatially dependent mixture models via the logistic multivariate CAR prior 1-gen-2021 Mario BerahaMatteo PegoraroRiccardo PeliAlessandra Guglielmi
Spatially dependent mixture models with a random number of components 1-gen-2021 Gianella M.Beraha M.Guglielmi A.
The semi-hierarchical Dirichlet process and its application to clustering homogeneous distributions 1-gen-2021 Mario BerahaAlessandra Guglielmi +