[ABE-L] Seminário DEST/UFMG em 22/03/2024

[Marcos Prates]

Caros,

Na próxima sexta-feira (22 de Março, às 13:30h) o ciclo de Seminários do
Departamento de Estatística da UFMG terá a apresentação do profa. Ying
MacNab da University of British Columbia - Canada.

Ying MacNab is an Associate Professor of Biostatistics in the School of
Population and Public Health, University of British Columbia (Canada). She
did her undergrad in mathematics, and MSc and PhD in statistics. The main
areas of her recent statistical research are spatial statistics, Bayesian
statistics, graphical models, Gaussian Markov random fields, Gaussian
processes, distributional regression, spatial confounding, mainly in the
contexts of Bayesian disease mapping and precision public health and
medicine.

Title: On Gaussian Markov random field, spatial dependence representation,
and local influence function

Abstract: Gaussian Markov random fields (GMRF) and their multivariate
extensions (MGMRFs) are powerful tools for modelling probabilistic
interactions of directly related variables. As an important category of
graphical models, they are commonly used in spatial statistics (e.g.,
disease mapping, small area estimation, spatial ecology) and Bayesian
statistics, and their applications and potentials of application are
far-reaching (e.g., artificial intelligence, deep learning, image
processing, computer vision, spatial biology). In this presentation, I give
an overview of my recent work on spatial dependence representations for a
selected (adaptive) (M)GMRF parameterizations and introduce the notions of
(a)symmetric local influence, cross-local influence, and associated local
and cross-local influence functions. Some recent applications in the
contexts of Bayesian (spatial, multivariate, and spatiotemporal) disease
mapping and small area estimation will be presented.

O seminário será transmitido ao vivo pelo canal do Youtube "Seminários DEST
- UFMG".

https://www.youtube.com/@seminariosdest-ufmg

Att,
Marcos Prates
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