[ABE-L] Papos Aleatórios 24/05/2019 - 14h30m - IME 205G

[Patricia]

Boa tarde,

Convido a todos a participarem do próximo Papos Aleatórios que ocorrerá dia 24 de maio de 2019, sexta, às 14h30m no Gragoatá e será conduzido pela professora Viviana G. R. Lobo da Universidade Federal do Rio de Janeiro.
Local: UFF - Gragoatá - IME - bloco G - sala 205
Título: Bayesian residual analysis for spatially correlated data
Resumo:This work considers residual analysis and predictive techniques in the  identication of individual and multiple outliers in geostatistical data. The standardized Bayesian spatial residual is proposed and computed for three competing models: the Gaussian, Student-t and Gaussian-log-Gaussian spatial processes. In this context, the spatial models are investigated regarding their plausibility for datasets contaminated with outliers. The posterior probability of an outlying observation is computed based on the standardized residuals and different thresholds for outlier discrimination are tested. From a predictive point of view, methods such as the conditional predictive ordinate, the predictive concordance and the Savage-Dickey density ratio for hypothesis testing are investigated in the identication of outliers in the spatial setting. For illustration, contaminated datasets are considered to access the performance of the three spatial models in the identication of outliers in spatial data. Furthermore, an application to wind speed modelling is presented to illustrate the usefulness of the proposed tools in the detection of regions with large wind speeds. Based on joint work with Thais C. O. Fonseca (IM-UFRJ).
Maiores informações podem ser obtidas em https://sites.google.com/view/paposaleatorios .
Att, Patrícia LusiéProfessora AdjuntaDepartamento de EstatísticaInstituto de Matemática e Estatística - UFF
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <https://lists.ime.usp.br/archives/abe/attachments/20190515/7d0cb48b/attachment.html>
-------------- Próxima Parte ----------
Um anexo não-texto foi limpo...
Nome: 24052019.pdf
Tipo: application/pdf
Tamanho: 652303 bytes
Descrição: não disponível
URL: <https://lists.ime.usp.br/archives/abe/attachments/20190515/7d0cb48b/attachment.pdf>