[ABE-L] Ciclo de Seminarios PPGEst-UFRGS (Silvia Ferrari - IME, USP - 20/06 às 13:30)

[RENATA ROJAS GUERRA]

Prezados,

Conforme a imagem, o título correto do seminário é "Robust beta regression
through the logit transformation".

Att,

Renata





Em seg., 19 de jun. de 2023 14:56, RENATA ROJAS GUERRA <
renata.r.guerra em ufsm.br> escreveu:

> Prezados,
>
> Temos o prazer de convidar a todos para o segundo seminário do Programa de
> Pós-Graduação em Estatística da UFRGS (PPGEst-UFRGS)!
> Informações abaixo:
>
> *Palestrante:* Silvia L. P. Ferrari (IME, USP)
> *Data:* 20 de junho de 2023 (terça-feira) às 13h30min.
> *Link:* mconf.ufrgs.br/webconf/ppgest
>
> *Título:* Building non-separable spatio-temporal models
>
> *Resumo:* Beta regression models are employed to model continuous
> response variables in the unit interval, like rates, percentages, or
> proportions. Their applications rise in sev- eral areas, such as medicine,
> environment research, finance, and natural sciences. The maximum likelihood
> estimation is widely used to make inferences for the parameters.
> Nonetheless, it is well-known that the maximum likelihood-based inference
> suffers from the lack of robustness in the presence of outliers. Such a
> case can bring severe bias and misleading conclusions. Recently, robust
> estimators for beta regression models were presented in the literature.
> However, these estimators require non-trivial restrictions in the parameter
> space, which limit their application. This paper develops new robust
> estimators that overcome this drawback. Their asymptotic and robustness
> properties are studied, and robust Wald-type tests are introduced.
> Simulation results evidence the merits of the new robust estimators.
> Inference and diagnostics using the new estimators are illustrated in an
> application to health insurance coverage data.
>
>
>
> Abraços,
>
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