Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Leonardo Egidi"'
Autor:
Erika Tissino, Nicola Calonaci, Federico Pozzo, Filippo Vit, Annalisa Gaglio, Lodovico Terzi DI Bergamo, Tamara Bittolo, Francesca Maria Rossi, Robel Papotti, Ilaria Catarossi, Eva Zaina, Paola Nanni, Riccardo Bergamin, Leonardo Egidi, Giovanni Santacatterina, Salvatore Milite, Maria Ilaria Del Principe, Roberta Laureana, Jacopo Olivieri, Francesco Zaja, Annalisa Chiarenza, Davide Rossi, Riccardo Bomben, Valter Gattei, Antonella Zucchetto, Giulio Caravagna
Publikováno v:
HemaSphere, Vol 7, p e7042158 (2023)
Externí odkaz:
https://doaj.org/article/73e887b6f43d4d0188730e751f7b5a07
We consider a Bayesian model-based clustering technique that directly accounts for network relations between territorial units and their position in a geographical space. This proposal is motivated by a practical problem: to design administrative str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::beb1031b7a23c3b66c1db755d4ff9b83
https://hdl.handle.net/11368/3039038
https://hdl.handle.net/11368/3039038
Autor:
Ioannis Ntzoufras, Leonardo Egidi
Publikováno v:
Journal of the Royal Statistical Society Series C: Applied Statistics. 69:1307-1336
Summary Volleyball is a team sport with unique and specific characteristics. We introduce a new two-level hierarchical Bayesian model which accounts for these volleyball-specific characteristics. In the first level, we model the set outcome with a si
Autor:
Leonardo Egidi, Nicola Torelli
Publikováno v:
Social Indicators Research. 156:801-813
Two main approaches are considered when building statistical models for football outcomes: (1) the goal-based approach, where the number of goals scored by two competing teams is modelled, and (2) the result-based approach, where a three-category out
Autor:
Leonardo Egidi
Mixture prior distributions are much used in statistical applications, such as clinical trials, especially to avoid prior-data conflicts. We explicitly prove that the effective sample size (ESS) of a mixture prior rarely exceeds the ESS of any indivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1942961ee57ed83d5b2a8208745a769
https://hdl.handle.net/11368/3004953
https://hdl.handle.net/11368/3004953
The Bayesian model consists of the prior–likelihood pair. A prior–data conflict arises whenever the prior allocates most of its mass to regions of the parameter space where the likelihood is relatively low. Once a prior–data conflict is diagnos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92df3846ea69cfd172d0469fb198c926
http://hdl.handle.net/11368/2993048
http://hdl.handle.net/11368/2993048
Autor:
Marco Rocco Pastore, Serena Milan, Rossella Agolini, Leonardo Egidi, Tiziano Agostini, Lorenzo Belfanti, Gabriella Cirigliano, Daniele Tognetto
Publikováno v:
Journal of Clinical Medicine; Volume 11; Issue 24; Pages: 7301
Background: To evaluate and compare the visual function and the quality of life (QoL) in glaucomatous patients treated with topical medical therapy (TMT) alone, canaloplasty (CP), or trabeculectomy (TB). Methods: A total of 291 eyes of 167 patients w
The identification of groups’ prototypes, i.e. elements of a dataset that are representative of the group they belong to, is relevant to the tasks of clustering, classification and mixture modeling. The R package pivmet includes different methods f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::63d28eb057961e155fdd080e10f3cb42
http://hdl.handle.net/11368/2994386
http://hdl.handle.net/11368/2994386
Publikováno v:
Journal of Neurosurgical Sciences. 64
No abstract is given