Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Conti, Pier Luigi"'
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
A measure of interrater absolute agreement for ordinal scales is proposed capitalizing on the dispersion index for ordinal variables proposed by Giuseppe Leti. The procedure allows to avoid the problem of restriction of variance that sometimes affect
Externí odkaz:
http://arxiv.org/abs/1907.09756
Autor:
Conti, Pier Luigi, De Giovanni, Livia
In this paper the estimation of the distribution function for potential outcomes to receiving or not receiving a treatment is studied. The approach is based on weighting observed data on the basis on estimated propensity score. A weighted version of
Externí odkaz:
http://arxiv.org/abs/1904.12159
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
Autor:
Conti, Pier Luigi, Di Iorio, Alberto
The aim of this paper is to provide a resampling technique that allows us to make inference on superpopulation parameters in finite population setting. Under complex sampling designs, it is often difficult to obtain explicit results about superpopula
Externí odkaz:
http://arxiv.org/abs/1809.08035
Publikováno v:
In Computational Statistics and Data Analysis March 2022 167
In this paper, a class of resampling techniques for finite populations under complex sampling design is introduced. The basic idea on which it rests is a two-step procedure consisting in : (i) constructing a pseudo-population on the basis of sample d
Externí odkaz:
http://arxiv.org/abs/1705.03827
Publikováno v:
In International Journal of Approximate Reasoning March 2021 130:150-169
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Journal of the American Statistical Association, 2016 Dec 01. 111(516), 1715-1725.
Externí odkaz:
https://www.jstor.org/stable/45027521