Sfoglia per ???browse.type.metadata.subjectErc2011???
Bayesian Inference and Forecasting in Dynamic Neural Networks with Fully Markov Switching ARCH Noises
2008 Spezia, Luigi; Paroli, Roberta
Bayesian inference in non-homugeneous Markov mixture of periodic autoregressions with state-dependent exogenous variables
2008 Paroli, Roberta; Spezia, Luigi
Bayesian inference of causal effects from observational data in Gaussian graphical models
2021 Castelletti, Federico; Consonni, Guido
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
2020 Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele
Bayesian joint modelling of the health profile and demand of home care patients
2017 Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad
Bayesian learning of multiple directed networks from observational data
2020 Castelletti, Federico; La Rocca, L.; Peluso, Stefano; Stingo, F. C.; Consonni, Guido
Bayesian Mixture Models for Latent Class Analysis
2020 Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria
Bayesian model comparison based on expected posterior priors for discrete decomposable graphical models.
2009 Consonni, Guido; Lupparelli, Monia
Bayesian Model Selection of Gaussian Directed Acyclic Graph Structures
2020 Castelletti, Federico
Bayesian modeling of spatio-temporal point patterns in residential property sales
2016 Paci, Lucia; Gelfand, Alan E.; Beamonte, MarÍa AsuncÍon; Gargallo, Pilar; Salvador, Manuel
Bayesian nonparametric adaptive classification with robust prior information
2020 Denti, Francesco; Cappozzo, Andrea; Greselin, Francesca
Bayesian nonparametric clustering and association studies for candidate SNP observations
2017 Wang, C.; Ruggeri, F.; Hsiao, C. K.; Argiento, Raffaele
Bayesian nonparametric covariate driven clustering Un modello bayesiano nonparametrico per clustering in presenza di covariate
2018 Argiento, Raffaele; Ilaria, Bianchini; Alessandra, Guglielmi; Ettore, Lanzarone
A Bayesian nonparametric model for density and cluster estimation: the ε -NGG process mixture Un modello bayesiano nonparametrico per la stima di densità e l’analisi di cluster: il modello mistura attraverso il processo ε -NGG
2014 Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra
Bayesian Nonparametric State Space Models via Mixture Process of Products of Dirichlet Processes
2014 Peluso, Stefano; Mira, Antonietta; Muliere, Pietro
Bayesian principal curve clustering by species-sampling mixture models Clustering mediante modelli mistura a campionamento di specie di curve principali bayesiane
2014 Argiento, Raffaele; Guglielmi, Alessandra
Bayesian principal curve clustering by species-sampling mixture models Clustering mediante modelli mistura a campionamento di specie di curve principali bayesiane
2014 Argiento, Raffaele; Guglielmi, Alessandra
Bayesian quickest detection of credit card fraud
2022 Buonaguidi, Bruno; Mira, Antonietta; Bucheli, Herbert; Vitanis, Viton
Bayesian sample size determination for Multisite Replication Studies
2022 Bourazas, Konstantinos; Consonni, Guido; Deldossi, Laura
Bayesian semiparametric inference for the accelerated failure time model using hierarchical mixture modeling with N-IG priors
2006 Argiento, Raffaele; A., Guglielmi; A., Pievatolo; Ruggeri, F
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