Scorri Afferenza Dipartimento di Scienze Economiche
Risultati da 140 a 159 di 2.177
A Bayesian approach for modeling patient's demand and hidden health status: an application to Home Health Care
2013-01-01 Nawajah, Inad; Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore
Bayesian Clustering of Brain Regions via Extended Stochastic Block Models
2022-01-01 Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele
Bayesian cumulative shrinkage for infinite factorizations
2020-01-01 Legramanti, Sirio; Durante, Daniele; Dunson, David B.
Bayesian density estimation and model selection using nonparametric hierarchical mixtures
2010-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Pievatolo, Antonio
A Bayesian framework for describing and predicting the stochastic demand of home care patients
2016-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad
Bayesian GARCH modeling of functional sports data
2022-01-01 Dolmeta, Patric; Argiento, Raffaele; Montagna, Silvia
Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis
2021-01-01 Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele
Bayesian joint modeling of the health profile and demand of home care patients
2017-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad
Bayesian Mixture Models for Latent Class Analysis
2020-01-01 Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria
Bayesian modeling for spatially misaligned health and air pollution data through the INLA-SPDE approach
2019-01-01 Cameletti, Michela; Rubio, Virgilio Gómez; Blangiardo, Marta
A Bayesian nonparametric Approach to Model Association between Clusters of SNPs and Disease Responses
2015-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Hsiao, Chuhsing Kate; Ruggeri, Fabrizio; Wang, Charlotte
Bayesian nonparametric clustering and association studies for candidate SNP observations
2017-01-01 Wang, C.; Ruggeri, F.; Hsiao, C. K.; Argiento, Raffaele
Bayesian nonparametric covariate driven clustering
2018-01-01 Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra; Lanzarone, Ettore
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
2014-01-01 Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra
Bayesian principal curve clustering by species-sampling mixture models
2014-01-01 Argiento, Raffaele; Guglielmi, Alessandra
Bayesian semiparametric inference for the accelerated failure time model using hierarchical mixture modeling with N-IG priors
2006-01-01 Argiento, Raffaele; Guglielmi, Alessandra; Pievatolo, Antonio; Ruggeri, Fabrizio
Bayesian semiparametric inference for the AFT model, using N-IG mixture prior
2007-01-01 Argiento, Raffaele; Pievatolo, Antonio; Ruggeri, Fabrizio; Guglielmi, Alessandra
'Bayesian source detection and parameter estimation of a plume model based on sensor network measurements' by C. Huang et al.: Discussion 1
2010-01-01 Fasso', Alessandro; Finazzi, Francesco
Bayesian source detection and parameter estimation of a plume model based on sensor network measurements: Discussion
2010-01-01 Fasso', Alessandro; Finazzi, Francesco
Bayesian Statistics in Action. BAYSM 2016, Florence, Italy, June 19-21
2017-01-01 Argiento, Raffaele; Lanzarone, Ettore; Antoniano Villalobos, Isadora; Mattei, Alessandra
| Data di pubblicazione | Titolo | Autore/i | Tipologia | Documento allegato |
|---|---|---|---|---|
| 1-gen-2013 | A Bayesian approach for modeling patient's demand and hidden health status: an application to Home Health Care | Nawajah, Inad; Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2022 | Bayesian Clustering of Brain Regions via Extended Stochastic Block Models | Legramanti, Sirio; Rigon, Tommaso; Durante, Daniele | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2020 | Bayesian cumulative shrinkage for infinite factorizations | Legramanti, Sirio; Durante, Daniele; Dunson, David B. | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2010 | Bayesian density estimation and model selection using nonparametric hierarchical mixtures | Argiento, Raffaele; Guglielmi, Alessandra; Pievatolo, Antonio | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2016 | A Bayesian framework for describing and predicting the stochastic demand of home care patients | Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2022 | Bayesian GARCH modeling of functional sports data | Dolmeta, Patric; Argiento, Raffaele; Montagna, Silvia | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2021 | Bayesian isotonic logistic regression via constrained splines: an application to estimating the serve advantage in professional tennis | Montagna, Silvia; Orani, Vanessa; Argiento, Raffaele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2017 | Bayesian joint modeling of the health profile and demand of home care patients | Argiento, Raffaele; Guglielmi, Alessandra; Lanzarone, Ettore; Nawajah, Inad | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2020 | Bayesian Mixture Models for Latent Class Analysis | Argiento, Raffaele; Bodin, Bruno; De Iorio, Maria | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2019 | Bayesian modeling for spatially misaligned health and air pollution data through the INLA-SPDE approach | Cameletti, Michela; Rubio, Virgilio Gómez; Blangiardo, Marta | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2015 | A Bayesian nonparametric Approach to Model Association between Clusters of SNPs and Disease Responses | Argiento, Raffaele; Guglielmi, Alessandra; Hsiao, Chuhsing Kate; Ruggeri, Fabrizio; Wang, Charlotte | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.02 Abstract in atti di convegno - Conference abstracts | |
| 1-gen-2017 | Bayesian nonparametric clustering and association studies for candidate SNP observations | Wang, C.; Ruggeri, F.; Hsiao, C. K.; Argiento, Raffaele | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2018 | Bayesian nonparametric covariate driven clustering | Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra; Lanzarone, Ettore | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2014 | 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 | Argiento, Raffaele; Bianchini, Ilaria; Guglielmi, Alessandra | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2014 | Bayesian principal curve clustering by species-sampling mixture models | Argiento, Raffaele; Guglielmi, Alessandra | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2006 | Bayesian semiparametric inference for the accelerated failure time model using hierarchical mixture modeling with N-IG priors | Argiento, Raffaele; Guglielmi, Alessandra; Pievatolo, Antonio; Ruggeri, Fabrizio | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2007 | Bayesian semiparametric inference for the AFT model, using N-IG mixture prior | Argiento, Raffaele; Pievatolo, Antonio; Ruggeri, Fabrizio; Guglielmi, Alessandra | 1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations | |
| 1-gen-2010 | 'Bayesian source detection and parameter estimation of a plume model based on sensor network measurements' by C. Huang et al.: Discussion 1 | Fasso', Alessandro; Finazzi, Francesco | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2010 | Bayesian source detection and parameter estimation of a plume model based on sensor network measurements: Discussion | Fasso', Alessandro; Finazzi, Francesco | 1.1 Contributi in rivista - Journal contributions::1.1.01 Articoli/Saggi in rivista - Journal Articles/Essays | |
| 1-gen-2017 | Bayesian Statistics in Action. BAYSM 2016, Florence, Italy, June 19-21 | Argiento, Raffaele; Lanzarone, Ettore; Antoniano Villalobos, Isadora; Mattei, Alessandra | 1.6 Curatele - Editorships::1.6.01 Curatele - Edited books |
Risultati da 140 a 159 di 2.177
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