Sfoglia per Afferenza MILANO - Dipartimento di Scienze statistiche
Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model
2016 Calabrese, Raffaella; Marra, Giampiero; Osmetti, Silvia Angela
BarCamp: Technology Foresight and Statistics for the Future
2015 Azzimonti, Laura; Cremona, Marzia A.; Ghiglietti, Andrea; Ieva, Francesca; Menafoglio, Alessandra; Pini, Alessia; Zanini, Paolo
BAS3. British Ability Scales 3. Manuale tecnico.
2021 Elliott, Colin D.; Smith, Pauline; Traficante, Daniela; Assunta Zanetti, Maria; Bonanomi, Andrea; Andolfi, Valentina
BAS3: British Ability Scales 3. Manuale di somministrazione e scoring.
2021 Elliott, Colin D.; Smith, Pauline; Traficante, Daniela; Assunta Zanetti, Maria; Bonanomi, Andrea; Andolfi, Valentina
Baseline clinical and neuroradiological predictors of outcome in patients with large ischemic core undergoing mechanical thrombectomy: a retrospective multicenter study
2024 Alexandre, Andrea; Monforte, Mauro; Brunetti, Valerio; Scarcia, Luca; Cirillo, Luigi; Zini, Andrea; Scala, Irene; Nardelli, Vincenzo; Arbia, Francesco; Arbia, Giuseppe; Frisullo, Giovanni; Kalsoum, Erwah; Camilli, Arianna; De Leoni, Davide; Francesca, Colò; Abruzzese, Serena; Piano, Mariangela; Rollo, Claudia; Macera, Antonio; Ruggiero, Maria; Lafe, Elvis; Gabrieli, Joseph Domenico; Cester, Giacomo; Limbucci, Nicola; Arba, Francesco; Ferretti, Simone; Da Ros, Valerio; Bellini, Luigi; Salsano, Giancarlo; Mavilio, Nicola; Russo, Riccardo; Bergui, Mauro; Caragliano, Antonio Armando; Vinci, Sergio Lucio; Romano, Daniele Giuseppe; Frauenfelder, Giulia; Semeraro, Vittorio; Porzia, Ganimede Maria; Lozupone, Emilio; Romi, Andrea; Cavallini, Anna; Milonia, Luca; Muto, Massimo; Candelaresi, Paolo; Calabresi, Paolo; Pedicelli, Alessandro; Broccolini, Aldobrando
Bayesian Analysis of a Water Quality Turbidity High Frequency Time Series Through Markov Switching Autoregressive Models
2021 Paroli, Roberta; Spezia, L.; Stutter, M.; Vinten, A
Bayesian analysis of Amazon’s best-selling books via finite nested mixture models
2023 D’Angelo, L.; Denti, Francesco
Bayesian analysis of extreme values by mixture modeling
2003 Bottolo, Leonardo; Consonni, Guido; Dellaportas, Petros; Lijoi, Antonio
Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models
2023 Spezia, Luigi; Gibbs, S.; Glendell, M.; Helliwell, R.; Paroli, Roberta; Pohle, I.
Bayesian approach for nonresponses
2008 Facchinetti, Silvia; Coin, Daniele; Chiodini, Paola Maddalena; Verrecchia, Flavio; Nai Ruscone, Marta
Bayesian approaches for capturing the heterogeneity of neuroimaging experiments
2022 Denti, Francesco; D'Angelo, Laura; Guindani, Michele
Bayesian approaches to designing replication studies
2023 Pawel, Samuel; Consonni, Guido; Held, Leonard
Bayesian Causal Inference in Probit Graphical Models
2021 Castelletti, Federico; Consonni, Guido
Bayesian change-point detection for a Brownian motion with a total miss criterion
2022 Buonaguidi, Bruno
Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion
2018 Castelletti, Federico; Peluso, Stefano
Bayesian clustering of gene expression microarray data for subgroup identification.
2004 Consonni, Guido; Bottolo, Leonardo
Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results
2023 Anceschi, Niccolò; Fasano, Augusto; Durante, Daniele; Zanella, Giacomo
Bayesian covariate selection in CUB model: some considerations
2012 Paroli, Roberta; Deldossi, Laura
Bayesian graphical modeling for heterogeneous causal effects
2023 Castelletti, Federico; Consonni, Guido
Bayesian Image Segmentation by Hidden Markov Models
2008 Paroli, Roberta; Spezia, Luigi
| Data di pubblicazione | Titolo | Autore(i) | File |
|---|---|---|---|
| 1-gen-2016 | Bankruptcy prediction of small and medium enterprises using a flexible binary generalized extreme value model | Calabrese, Raffaella; Marra, Giampiero; Osmetti, Silvia Angela | |
| 1-gen-2015 | BarCamp: Technology Foresight and Statistics for the Future | Azzimonti, Laura; Cremona, Marzia A.; Ghiglietti, Andrea; Ieva, Francesca; Menafoglio, Alessandra; Pini, Alessia; Zanini, Paolo | |
| 1-gen-2021 | BAS3. British Ability Scales 3. Manuale tecnico. | Elliott, Colin D.; Smith, Pauline; Traficante, Daniela; Assunta Zanetti, Maria; Bonanomi, Andrea; Andolfi, Valentina | |
| 1-gen-2021 | BAS3: British Ability Scales 3. Manuale di somministrazione e scoring. | Elliott, Colin D.; Smith, Pauline; Traficante, Daniela; Assunta Zanetti, Maria; Bonanomi, Andrea; Andolfi, Valentina | |
| 1-gen-2024 | Baseline clinical and neuroradiological predictors of outcome in patients with large ischemic core undergoing mechanical thrombectomy: a retrospective multicenter study | Alexandre, Andrea; Monforte, Mauro; Brunetti, Valerio; Scarcia, Luca; Cirillo, Luigi; Zini, Andrea; Scala, Irene; Nardelli, Vincenzo; Arbia, Francesco; Arbia, Giuseppe; Frisullo, Giovanni; Kalsoum, Erwah; Camilli, Arianna; De Leoni, Davide; Francesca, Colò; Abruzzese, Serena; Piano, Mariangela; Rollo, Claudia; Macera, Antonio; Ruggiero, Maria; Lafe, Elvis; Gabrieli, Joseph Domenico; Cester, Giacomo; Limbucci, Nicola; Arba, Francesco; Ferretti, Simone; Da Ros, Valerio; Bellini, Luigi; Salsano, Giancarlo; Mavilio, Nicola; Russo, Riccardo; Bergui, Mauro; Caragliano, Antonio Armando; Vinci, Sergio Lucio; Romano, Daniele Giuseppe; Frauenfelder, Giulia; Semeraro, Vittorio; Porzia, Ganimede Maria; Lozupone, Emilio; Romi, Andrea; Cavallini, Anna; Milonia, Luca; Muto, Massimo; Candelaresi, Paolo; Calabresi, Paolo; Pedicelli, Alessandro; Broccolini, Aldobrando | |
| 1-gen-2021 | Bayesian Analysis of a Water Quality Turbidity High Frequency Time Series Through Markov Switching Autoregressive Models | Paroli, Roberta; Spezia, L.; Stutter, M.; Vinten, A | |
| 1-gen-2023 | Bayesian analysis of Amazon’s best-selling books via finite nested mixture models | D’Angelo, L.; Denti, Francesco | |
| 1-gen-2003 | Bayesian analysis of extreme values by mixture modeling | Bottolo, Leonardo; Consonni, Guido; Dellaportas, Petros; Lijoi, Antonio | |
| 1-gen-2023 | Bayesian analysis of high-frequency water temperature time series through Markov switching autoregressive models | Spezia, Luigi; Gibbs, S.; Glendell, M.; Helliwell, R.; Paroli, Roberta; Pohle, I. | |
| 1-gen-2008 | Bayesian approach for nonresponses | Facchinetti, Silvia; Coin, Daniele; Chiodini, Paola Maddalena; Verrecchia, Flavio; Nai Ruscone, Marta | |
| 1-gen-2022 | Bayesian approaches for capturing the heterogeneity of neuroimaging experiments | Denti, Francesco; D'Angelo, Laura; Guindani, Michele | |
| 1-gen-2023 | Bayesian approaches to designing replication studies | Pawel, Samuel; Consonni, Guido; Held, Leonard | |
| 1-gen-2021 | Bayesian Causal Inference in Probit Graphical Models | Castelletti, Federico; Consonni, Guido | |
| 1-gen-2022 | Bayesian change-point detection for a Brownian motion with a total miss criterion | Buonaguidi, Bruno | |
| 1-gen-2018 | Bayesian Cluster Analysis: Point Estimation and Credible Balls. Contributed discussion | Castelletti, Federico; Peluso, Stefano | |
| 1-gen-2004 | Bayesian clustering of gene expression microarray data for subgroup identification. | Consonni, Guido; Bottolo, Leonardo | |
| 1-gen-2023 | Bayesian Conjugacy in Probit, Tobit, Multinomial Probit and Extensions: A Review and New Results | Anceschi, Niccolò; Fasano, Augusto; Durante, Daniele; Zanella, Giacomo | |
| 1-gen-2012 | Bayesian covariate selection in CUB model: some considerations | Paroli, Roberta; Deldossi, Laura | |
| 1-gen-2023 | Bayesian graphical modeling for heterogeneous causal effects | Castelletti, Federico; Consonni, Guido | |
| 1-gen-2008 | Bayesian Image Segmentation by Hidden Markov Models | Paroli, Roberta; Spezia, Luigi |
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