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**27/05/09 - 15:30h** Ciclo de Palestras Pós Graduação em Estatística UFRJ
- Subject: **27/05/09 - 15:30h** Ciclo de Palestras Pós Graduação em Estatística UFRJ
- From: "Alexandra M. Schmidt" <alex@im.ufrj.br>
- Date: Mon, 25 May 2009 19:49:59 -0300
Caros,
Dando continuidade ao Ciclo de Palestras do Programa de Pós-Graduação em
Estatística do IM-UFRJ, nesta 4a feira, 27/05/09, as 15:30h, teremos a
palestra do
Professor Alan E. Gelfand (Duke, EUA)
Título: Fusing point and areal level space-time data with application to wet
deposition
O resumo segue abaixo.
Contamos com a presenca de voces.
Acompanhem a atualizacao do programa do nosso ciclo de palestras no sitio
www.dme.ufrj.br opcao Atividades subopcao Ciclo de Palestras.
Atenciosamente,
Alexandra
Ps.: Desculpem-me pela eventual duplicação da postagem desta mensagem.
Título: Fusing point and areal level space-time data with application to wet
deposition
Resumo
Motivated by the problem of predicting annual wet chemical deposition in the
eastern United States, this paper develops a framework for joint modeling of
point and grid referenced spatio-temporal data in this context. The proposed
hierarchical model is able to provide accurate spatial interpolation and
temporal aggregation by combining information from observed point referenced
monitoring data and gridded output from a numerical simulation model known
as the Community Multi-scale Air Quality (CMAQ) model. The technique avoids
the change of support problem which arises in other hierarchical models for
data fusion settings to combine point and grid referenced data. The
hierarchical space-time model is fitted to weekly wet sulfate and nitrate
deposition data over the eastern United States. The model is validated with
set-aside data from a number of monitoring sites. Predictive Bayesian
methods are developed and illustrated for inference on aggregated summaries
such as quarterly and annual deposition maps.
This is joint work with Sujit K. SAHU and David M. HOLLAND.
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Alexandra Mello Schmidt, PhD
Professora Adjunta
Instituto de Matemática - UFRJ
Departamento de Métodos Estatísticos
Caixa Postal 68530 Rio de Janeiro - RJ
CEP:21.945-970 Brasil
Tel: 0055 21 2562 7505 Ramal (Extension) 204
Fax: 0055 21 2562 7374
http://www.dme.ufrj.br/~alex
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There is no time to lose. Cash your dreams before they slip away.
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