[Forum SIS] Seminario 13-9-16 Prof. Gamerman

[Dip. Scienze Statistiche - Mi]

Il Dipartimento di Scienze Statistiche dell'Università Cattolica del Sacro Cuore ha organizzato un seminario, presentato dal Prof. Dani Gamerman, Istituto di Matematica, UFRJ, Brasile, dal titolo:



Point pattern analysis with intensity functions

driven by multivariate Gaussian processes,

applied to the study of cerebrovascular deaths




Martedì 13 Settembre dalle ore 11,30

in Aula G. 053



Università Cattolica del Sacro Cuore - Milano

Largo Gemelli,1 - Edificio Lanzone 18

Abstract:

This talk proposes a modeling approach for handling spatial heterogeneity present in the study of the geographical pattern of deaths due to cerebrovascular disease. The framework involves a point pattern analysis with components exhibiting spatial variation, described by Gaussian processes.

Preliminary studies indicate that mortality of this disease and the effect of relevant covariates do not exhibit uniform geographic distribution. Our model extends previous work by allowing for spatial variation of the effect of non-spatial covariates. The approach is untractable anlytically due to the uncountable nature of the intensity function and is implemented via discretization. A number of relative risk indicators are derived by comparing different covariate levels, different geographic locations, or both.

The methods are applied to the study of the death pattern of cerebrovascular deaths in the city of Rio de Janeiro. The results compare well against existing alternatives, including covariate effects. Our model is able to capture and highlight important data information that would not be noticed otherwise, providing information that is required for appropriate health decision-making. The framework can be extended to spatio-temporal point processes and also to make inference for the infinite-dimensional space of non-discretized intensity functions.

Joint work with Jony A. Pinto Jr, Marina S. Paez, Rgina H. F. Alves and Flavio B. Gonçalves.






Segreteria Organizzativa:
Barbara Villa
Dipartimento di Scienze statistiche
Edificio Lanzone, 18
Dip.scienzestatistiche at unicatt.it<mailto:Dip.scienzestatistiche at unicatt.it>
Tel. +39 02 7234 2647
Fax +39 02 7234 3064
http://dipartimenti.unicatt.it/scienze_statistiche


Università Cattolica del Sacro Cuore
Largo Gemelli 1, 20123 Milano
www.unicatt.it<http://www.unicatt.it/>


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