Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Fedele Greco"'
Autor:
Fedele Greco
Publikováno v:
Statistica, Vol 76, Iss 2, Pp 115-125 (2016)
Nowadays, traditional population censuses based on total enumeration of the population are being accompanied by sample surveys. Sampling within censuses allows to reduce costs and workload of authorities involved in censuses operations, along with th
Externí odkaz:
https://doaj.org/article/5277b59228a04670a28dad29e2c92def
Publikováno v:
Statistica, Vol 76, Iss 1, Pp 93-111 (2016)
In this paper, we consider the problem of specifying priors for the variance components in the Bayesian analysis of the Besag-York-Mollié model, a model that is popular among epidemiologists for disease mapping. The model encompasses two sets of ran
Externí odkaz:
https://doaj.org/article/8b1ad4e2961e44918a00b85756de8bce
Autor:
Fedele Greco, Carlo Trivisano
Publikováno v:
Statistica, Vol 68, Iss 3/4, Pp 327-347 (2013)
Disease mapping studies have been widely performed at univariate level, that is considering only one disease in the estimated models. Nonetheless, simultaneous modeling of different diseases can be a valuable tool both from the epidemiological and fr
Externí odkaz:
https://doaj.org/article/549bdd7d12e24cef852cb65a2889a110
Autor:
Angelina Mazzocchetti, Fedele Greco
Publikováno v:
Statistica, Vol 71, Iss 1, Pp 113-124 (2013)
Migration – the movement of people from one location to another on any geographic scale – affects both the areas of origin and of destination. The aim of the present analysis is to understand how municipalities’ net migration rates are influenc
Externí odkaz:
https://doaj.org/article/4ae0891c61a842c3a8766c4e2c74e4ff
Publikováno v:
Statistica, Vol 66, Iss 2, Pp 127-138 (2007)
PM10 monitoring networks are equipped with heterogeneous samplers. Some of these samplers are known to underestimate true levels of concentrations (non-reference samplers). In this paper we propose a hierarchical spatio-temporal Bayesian model for th
Externí odkaz:
https://doaj.org/article/100b94900d384a36ae83a4e4c307f903
Publikováno v:
Revstat Statistical Journal, Vol 13, Iss 1 (2015)
The paper investigates spatio-temporal trends in health disparities through an empirical example. We deal with geographical health pattern in Italy from 1991 to 2010, starting from infant mortality data available at the provincial level and assessing
Externí odkaz:
https://doaj.org/article/750d472eb19747caa26fdefdf0184352
Autor:
Fedele Greco
We consider the problem of modeling association between continuous covariates and count tables. We propose a hierarchical model which takes into account the complex structure of interactions, imposes sparsity for covariate selection and allows for he
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::507733d265e324963ce2f475309f97ad
http://hdl.handle.net/11585/873220
http://hdl.handle.net/11585/873220
The problem of computing the distribution of quadratic forms in normal variables has a long tradition in the statistical literature. Well-established numerical algorithms that deal with this task rely on the inversion of Fourier transforms or series
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19c48b7f187ed03a3e3dd8ec786a3551
https://hdl.handle.net/11585/880552
https://hdl.handle.net/11585/880552
Disease mapping encompasses a set of methodologies employed to describe the disease risk distribution over a study region. When the disease under study is rare, counts are heavily affected by random variability, and the estimates of the relative risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::86b1c0c94a39e07503a7c8db961612ad
http://hdl.handle.net/11585/807935
http://hdl.handle.net/11585/807935
The main purpose of this paper is to define a statistical method to model mortality rates by age and sex for provincial areas in Italy. In a preliminary descriptive analysis, we demonstrate the existence of specific spatio-temporal patterns. Thus, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4094::ac5867a4cc6d3703224a94e3a8900f63
http://hdl.handle.net/11585/385502
http://hdl.handle.net/11585/385502