[Forum SIS] avviso di seminario - Paola Vicard, Universita' di Roma Tre

[Maria Giovanna Ranalli]

.: Paola Vicard, Dipartimento di Economia, Università di Roma Tre :.

Venerdi 29 Ottobre, ore 12, Aula 201
Università degli Studi di Perugia, Dipartimento di Economia, Finanza e  
Statistica

.: Bayesian networks in official statistics :.

Abstract:
Statistical analyses can be particularly complex when are referred
to surveys and databases produced by a National Institute of Statistics.
The complexity is mainly due to: high number of surveys carried out by
the institute, sampling design complexity, high number of variables and
huge sample sizes. In this context it can be useful to analyse and  
exploit
the dependence structures. Bayesian networks are multivariate  
statistical
models able to represent and manage complex dependence structures.
The theoretical setting of BNs and of graphical models is the basis for
developing methods for efficiently representing and managing survey  
systems.
A known (or previously estimated) dependence structure can help:
in estimators computation (with the sampling design either explicitly or
implicitly modelled); when coherence constraints among different surveys
must be fulfilled; in integrating different sample surveys (in terms of
their joint distribution); in updating the estimate of a joint  
distribution
once new knowledge on a variable marginal distribution occurs (survey  
weights
poststratification is a special case); in missing data imputation.
Furthermore, since BNs can be extended to embody decision and utility
nodes giving rise to BNs for decisions, they can be used for data  
collection
monitoring that is carried out on the basis of various factors  
determining
the final quality of the survey.
The presentation will survey recent results on the application of BNs  
in the
survey process contexts focusing on categorical variables.


Altri seminari gia' annunciati al DEFS di Perugia

.: Nicola Salvati, Dipartimento di Statistica e Matematica Applicata  
all'Economia, Università di Pisa :.

Venerdi 22 Ottobre, ore 12, Aula 201
Università degli Studi di Perugia, Dipartimento di Economia, Finanza e  
Statistica

.: M-quantile and Expectile Random Effects Regression for Multilevel  
Data :.


tutte le informazioni su http://www.ec.unipg.it/DEFS/

cordiali saluti

M. Giovanna Ranalli

~ Dipartimento di Economia, Finanza e Statistica
~ Sezione di Statistica
~ Via Pascoli
~ Universita' degli Studi di Perugia
~ 06123 Perugia - Italy

~ Tel +39 075 5855939
~ Fax +39 075 5855950
~ url: www.stat.unipg.it/~giovanna

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://www.stat.unipg.it/pipermail/sis/attachments/20101018/6021e845/attachment.html>