[ABE-L] Seminários PIPGEs UFSCar/USP

[Michel H. Montoril]

Caros,
Apenas retificando, nosso próximo seminário será amanhã, dia *13/05*, à s
*14h*.
Saudações,
Michel

===============================
/* Michel H. Montoril,
 * Assistant Professor,
 * Department of Statistics,
 * Federal University of São Carlos,
 * São Carlos, SP, 13565-905, Brazil
 */


On Wed, May 11, 2022 at 7:14 PM Michel H. Montoril <michelcias em gmail.com>
wrote:

> Caros,
>
> Gostaríamos de convidar a todos para o próximo seminário conjunto
> UFSCar/ICMC-USP, que ocorrerá no dia *13/04*, *às 14h*. Seguem
> informações abaixo.
>
> Sintam-se à vontade para divulgar (arquivo em anexo) entre eventuais
> interessados.
>
> Saudações,
> Michel
>
> *Scheduled for:*
> May 13, 2022, at 2:00 pm
> (GMT-03:00) Brasilia Standard Time - Sao Paulo
>
> *Video call link HERE <https://meet.google.com/fts-eoeu-jgx>.*
>
> *Speaker:*
> Marinho G. Andrade (ICMC-USP)
>
> *Title:*
> A Bayesian Approach with Hamiltonian Monte Carlo to Zero-Modified Power
> Series Model for Count Data Time Series
>
> *Abstract:*
> The paper aims to develop Zero-Modified (e.g., Inflated or Zero Deflated)
> models for time series with discrete data. The models introduced in this
> paper is an extension of Zero-Modified models of the Power Series family.
> The main advantage of the proposed model is the suitability of these models
> to fit time series data with both characteristics (zero-inflation and
> zero-deflation) present in the same time series. Inference methods based on
> the Bayesian approach, together with Hamiltonian Monte Carlo (HMC)
> techniques were considered. The paper also provides a relevant application
> for a real problem by modeling and forecast the series of notifications of
> the number of deaths from Influenza in the city of São Paulo, Brazil.
>
> *Bio:*
> Prof. Marinho G. Andrade graduated in Electrical Engineering from the
> Federal University of Pernambuco (1981). Master in Electrical Engineering
> from the State University of Campinas (1986). Ph.D. in Electrical
> Engineering from the State University of Campinas (1994). Post-Doctorate at
> the Department of Statistics of the Carlos III University of Madrid (2004).
> Postdoctoral fellow at the Department of Statistics, University of
> Connecticut, Storrs - CT/USA (Feb/2020-Feb/2021). He was head of the
> Department of Applied Mathematics and Statistics-SME of the Institute of
> Mathematical and Computer Sciences-ICMC-USP. Coordinator of the
> Interinstitutional Postgraduate Program in Statistics -PIPGES USP-UFSCar.
> He is currently an associate professor (free professor) at the University
> of São Paulo. He is interested in Probability and Statistics, emphasizing
> Time Series, working mainly on the following topics: Bayesian inference,
> MCMC simulation, time series, and models for count data.
>
> ===============================
> /* Michel H. Montoril,
>  * Assistant Professor,
>  * Department of Statistics,
>  * Federal University of São Carlos,
>  * São Carlos, SP, 13565-905, Brazil
>  */
>
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