Zobrazeno 1 - 10
of 154
pro vyhledávání: '"Vicard, Paola"'
Autor:
Vicard, Paola, Rancoita, Paola Maria Vittoria, Cugnata, Federica, Briganti, Alberto, Mecatti, Fulvia, Di Serio, Clelia, Conti, Pier Luigi
This paper proposes a new statistical approach for assessing treatment effect using Bayesian Networks (BNs). The goal is to draw causal inferences from observational data with a binary outcome and discrete covariates. The BNs are here used to estimat
Externí odkaz:
http://arxiv.org/abs/2302.07663
Autor:
Conti, Pier Luigi, Di Iorio, Alberto, Guandalini, Alessio, Marella, Daniela, Vicard, Paola, Vitale, Vincenzina
This paper focuses on the estimation of the concentration curve of a finite population, when data are collected according to a complex sampling design with different inclusion probabilities. A (design-based) Hajek type estimator for the Lorenz curve
Externí odkaz:
http://arxiv.org/abs/1812.03449
Publikováno v:
In International Journal of Approximate Reasoning March 2021 130:150-169
Publikováno v:
Annals of Applied Statistics 2013, Vol. 7, No. 2, 714-738
We study an economic decision problem where the actors are two firms and the Antitrust Authority whose main task is to monitor and prevent firms' potential anti-competitive behaviour and its effect on the market. The Antitrust Authority's decision pr
Externí odkaz:
http://arxiv.org/abs/1301.1444
Autor:
Marella, Daniela1 (AUTHOR), Vicard, Paola2 (AUTHOR) paola.vicard@uniroma3.it
Publikováno v:
Statistical Methods & Applications. Oct2022, Vol. 31 Issue 4, p981-1013. 33p.
Autor:
Mecatti, Fulvia1 (AUTHOR), Vicard, Paola2 (AUTHOR), Musella, Flaminia3 (AUTHOR), Giammei, Lorenzo4 (AUTHOR)
Publikováno v:
Significance. Oct2022, Vol. 19 Issue 5, p16-20. 5p.
Autor:
Di Pietro, Laura, Guglielmetti Mugion, Roberta, Musella, Flaminia, Renzi, Maria Francesca, Vicard, Paola
Publikováno v:
In Transportation Research Part A December 2017 106:235-247
Autor:
Vicard, Paola
Publikováno v:
Biometrika, 2000 Mar 01. 87(1), 199-205.
Externí odkaz:
https://www.jstor.org/stable/2673573
Autor:
Di Pietro, Laura, Guglielmetti Mugion, Roberta, Musella, Flaminia, Renzi, Maria Francesca, Vicard, Paola
Publikováno v:
In Expert Systems With Applications 1 April 2015 42(5):2691-2702
Autor:
Vicard, Paola, Rancoita, Paola Maria Vittoria, Cugnata, Federica, Briganti, Alberto, Mecatti, Fulvia, Di Serio, Clelia, Conti, Pier Luigi
A new method, based on Bayesian Networks, to estimate propensity scores is proposed with the purpose to draw causal inference from real world data on the average treatment effect in case of a binary outcome and discrete covariates. The proposed metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33c122486abfa268ad434cdc2ce96ebd