Sfoglia per Autore
Big data analytics to model scoring probability in basketball: the effect of shooting under high-pressure conditions
2018-01-01 Zuccolotto, Paola; Manisera, Marica; Sandri, Marco
Modelling perceived variety in a choice process with nonlinear CUB
2018-01-01 Brentari, E.; Manisera, M.; Zuccolotto, P.
A Novel Tool for Predicting Extracapsular Extension During Graded Partial Nerve Sparing in Radical Prostatectomy
2018-01-01 Patel, Vipul; Sandri, Marco; Grasso, Angelica Anna Chiara; De, Lorenzis; Elisa, Palmisano; Franco, ; Albo, Giancarlo; Coelho, Rafael Ferreira; Mottrie, Alexander; Tadzia, Harvey; Kameh, Darian; Palayapalayam, Hariharan; Wiklund, Peter; Bosari, Silvano; Puliatti, Stefano; Zuccolotto, Paola; Bianchi, Giampaolo; Rocco, Bernardo
Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone
2019-01-01 Manisera, M.; Zuccolotto, P.
BasketballAnalyzeR: an R package for basketball analytics
2019-01-01 Manisera, M.; Zuccolotto, P; Sandri, M.
Detecting and classifying moments in basketball matches using sensor tracked data
2019-01-01 Metulini, R; Facchinetti, T; Zuccolotto, P
Towards the definition of a detailed transcriptomic map of berry development
2019-01-01 Fasoli, Marianna; Richter, Chandra L.; Zenoni, Sara; Sandri, Marco; Zuccolotto, Paola; Dal Santo, Silvia; Pezzotti, Mario; Dokoozlian, Nick; Tornielli, Giovanni Battista
Guest Editorial ‘Statistical Modelling for Sports Analytics’
2019-01-01 Groll, Andreas; Manisera, Marica; Schauberger, Gunther; Zuccolotto, Paola
Basketball spatial performance indicators
2019-01-01 Manisera, M.; Metulini, R.; Sandri, M.; Zuccolotto, P.
Distinct Metabolic Signals Underlie Clone by Environment Interplay in “Nebbiolo” Grapes Over Ripening
2019-01-01 Pagliarani, Chiara; Boccacci, Paolo; Chitarra, Walter; Cosentino, Emanuela; Sandri, Marco; Perrone, Irene; Mori, Alessia; Cuozzo, Danila; Nerva, Luca; Rossato, Marzia; Zuccolotto, Paola; Pezzotti, Mario; Delledonne, Massimo; Mannini, Franco; Gribaudo, Ivana; Gambino, Giorgio
Is Extraprostatic Extension of Cancer Predictable? A Review of Predictive Tools and an External Validation based on a Large and a Single Center Cohort of Prostate Cancer Patients
2019-01-01 Rocco, Bernardo; Sighinolfi, Maria Chiara; Sandri, Marco; Eissa, Ahmed; Elsherbiny, Ahmed; Zoeir, Ahmed; Tadzia, Harvey; Palayapalayam, Hariharan; Kameh, Darian; Coelho, Rafael; Puliatti, Stefano; Zuccolotto, Paola; Montironi, Rodolfo; Wiklund, Peter; Micali, Salvatore; Bianchi, Giampaolo; Patel, Vipul
Basketball analytics using spatial tracking data
2019-01-01 Manisera, Marica; Metulini, Rodolfo; Zuccolotto, Paola
Ordinal data models for no-opinion responses in attitude surveys
2020-01-01 Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola
Basketball Data Science
2020-01-01 Zuccolotto, Paola; Manisera, Marica
Markov switching modelling of shooting performance variability and teammate interactions in basketball
2020-01-01 Sandri, M.; Zuccolotto, P.; Manisera, M.
Advances in basketball statistics
2020-01-01 Manisera, Marica; Sandri, Marco; Zuccolotto, Paola
How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection
2020-01-01 Manisera, Marica; Zuccolotto, Paola; Brentari, Eugenio
La statistica fa canestro
2020-01-01 Zuccolotto, Paola; Manisera, Marica; Sandri, Marco
The impact of Four Factors on a basketball team success: An approach with model-based recursive partitioning
2020-01-01 Migliorati, Manlio; Manisera, Marica; Zuccolotto, Paola
Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approach
2021-01-01 De Luca, Giovanni; Zuccolotto, Paola
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Big data analytics to model scoring probability in basketball: the effect of shooting under high-pressure conditions | 1-gen-2018 | Zuccolotto, Paola; Manisera, Marica; Sandri, Marco | |
| Modelling perceived variety in a choice process with nonlinear CUB | 1-gen-2018 | Brentari, E.; Manisera, M.; Zuccolotto, P. | |
| A Novel Tool for Predicting Extracapsular Extension During Graded Partial Nerve Sparing in Radical Prostatectomy | 1-gen-2018 | Patel, Vipul; Sandri, Marco; Grasso, Angelica Anna Chiara; De, Lorenzis; Elisa, Palmisano; Franco, ; Albo, Giancarlo; Coelho, Rafael Ferreira; Mottrie, Alexander; Tadzia, Harvey; Kameh, Darian; Palayapalayam, Hariharan; Wiklund, Peter; Bosari, Silvano; Puliatti, Stefano; Zuccolotto, Paola; Bianchi, Giampaolo; Rocco, Bernardo | |
| Discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence” by Domenico Piccolo and Rosaria Simone | 1-gen-2019 | Manisera, M.; Zuccolotto, P. | |
| BasketballAnalyzeR: an R package for basketball analytics | 1-gen-2019 | Manisera, M.; Zuccolotto, P; Sandri, M. | |
| Detecting and classifying moments in basketball matches using sensor tracked data | 1-gen-2019 | Metulini, R; Facchinetti, T; Zuccolotto, P | |
| Towards the definition of a detailed transcriptomic map of berry development | 1-gen-2019 | Fasoli, Marianna; Richter, Chandra L.; Zenoni, Sara; Sandri, Marco; Zuccolotto, Paola; Dal Santo, Silvia; Pezzotti, Mario; Dokoozlian, Nick; Tornielli, Giovanni Battista | |
| Guest Editorial ‘Statistical Modelling for Sports Analytics’ | 1-gen-2019 | Groll, Andreas; Manisera, Marica; Schauberger, Gunther; Zuccolotto, Paola | |
| Basketball spatial performance indicators | 1-gen-2019 | Manisera, M.; Metulini, R.; Sandri, M.; Zuccolotto, P. | |
| Distinct Metabolic Signals Underlie Clone by Environment Interplay in “Nebbiolo” Grapes Over Ripening | 1-gen-2019 | Pagliarani, Chiara; Boccacci, Paolo; Chitarra, Walter; Cosentino, Emanuela; Sandri, Marco; Perrone, Irene; Mori, Alessia; Cuozzo, Danila; Nerva, Luca; Rossato, Marzia; Zuccolotto, Paola; Pezzotti, Mario; Delledonne, Massimo; Mannini, Franco; Gribaudo, Ivana; Gambino, Giorgio | |
| Is Extraprostatic Extension of Cancer Predictable? A Review of Predictive Tools and an External Validation based on a Large and a Single Center Cohort of Prostate Cancer Patients | 1-gen-2019 | Rocco, Bernardo; Sighinolfi, Maria Chiara; Sandri, Marco; Eissa, Ahmed; Elsherbiny, Ahmed; Zoeir, Ahmed; Tadzia, Harvey; Palayapalayam, Hariharan; Kameh, Darian; Coelho, Rafael; Puliatti, Stefano; Zuccolotto, Paola; Montironi, Rodolfo; Wiklund, Peter; Micali, Salvatore; Bianchi, Giampaolo; Patel, Vipul | |
| Basketball analytics using spatial tracking data | 1-gen-2019 | Manisera, Marica; Metulini, Rodolfo; Zuccolotto, Paola | |
| Ordinal data models for no-opinion responses in attitude surveys | 1-gen-2020 | Iannario, Maria; Manisera, Marica; Piccolo, Domenico; Zuccolotto, Paola | |
| Basketball Data Science | 1-gen-2020 | Zuccolotto, Paola; Manisera, Marica | |
| Markov switching modelling of shooting performance variability and teammate interactions in basketball | 1-gen-2020 | Sandri, M.; Zuccolotto, P.; Manisera, M. | |
| Advances in basketball statistics | 1-gen-2020 | Manisera, Marica; Sandri, Marco; Zuccolotto, Paola | |
| How perceived variety impacts on choice satisfaction: a two-step approach using the CUB class of models and best-subset variable selection | 1-gen-2020 | Manisera, Marica; Zuccolotto, Paola; Brentari, Eugenio | |
| La statistica fa canestro | 1-gen-2020 | Zuccolotto, Paola; Manisera, Marica; Sandri, Marco | |
| The impact of Four Factors on a basketball team success: An approach with model-based recursive partitioning | 1-gen-2020 | Migliorati, Manlio; Manisera, Marica; Zuccolotto, Paola | |
| Hierarchical time series clustering on tail dependence with linkage based on a multivariate copula approach | 1-gen-2021 | De Luca, Giovanni; Zuccolotto, Paola |
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