[ABE-L] Ciclo de Palestras - PPGE - 26 de junho (quarta-feira) - hoje

[Maria Eulalia Vares]

Prezados colegas,

A nossa próxima palestra ocorrerá na *quarta-feira, 26 de junho*, no
horário das 15h30 às 17h00

*Local: *Laboratório de Sistemas Estocásticos (LSE), Sala I-044-B, Centro
de Tecnologia - UFRJ.

Detalhes do seminário seguem abaixo.

*Palestrante*: Widemberg da Silva Nobre (IM-UFRJ)

*Title*: Causal Inference Under Mis-Specification: Adjustment Based on the
Propensity Score

*Abstract:*:We study Bayesian approaches to causal inference via propensity
score regression. Much of Bayesian methodology relies on parametric and
distributional assumptions, with presumed correct specification, whereas
the extant propensity score methods in Bayesian literature have relied on
approaches that cannot be viewed as fully Bayesian in the context of
conventional ‘likelihood times prior’ posterior inference. We emphasize
that causal inference is typically carried out in settings of
mis-specification, and develop strategies for fully Bayesian inference that
reflect this. We focus on methods based on decision-theoretic arguments,
and show how inference based on loss-minimization can give valid and fully
Bayesian inference. We propose a computational approach to inference based
on the Bayesian bootstrap which has good Bayesian and frequentist
properties.

Mais informações podem ser encontradas no site:
https://www.dme.ufrj.br/?page_id=3487

Atenciosamente,

Maria Eulalia Vares
-- 
Maria Eulalia Vares
Professora Titular - Instituto de Matemática - UFRJ
Coordenadora do Programa de Pós-Graduação em Estatística
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