[ABE-L] Seminários PIPGEs UFSCar/USP

[Michel H. Montoril]

Caros,

Apenas reforçando que amanhã, *dia 19/08, às 14h*, teremos seminário
conjunto UFSCar/ICMC-USP. Mais informações abaixo.

Saudações,
Michel

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


On Wed, Aug 17, 2022 at 5:53 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 *19/08*, *às 14h*. Seguem
> informações abaixo.
>
> Sintam-se à vontade para divulgar (arquivo em anexo) entre eventuais
> interessados.
>
> Saudações,
> Michel
>
> *Scheduled for:*
> Aug 19, 2022, at 2:00 pm
> (GMT-03:00) Brasilia Standard Time - Sao Paulo
>
> *Video call link HERE.*
>
> *Speaker:*
> Daniel Ungaretti (Universidade Federal do Rio de Janeiro)
>
> *Title:*
> Results on the contact process with dynamic edges or under renewals
>
> *Abstract:*
> The contact process is a relatively simple model to represent the spread
> of an infection in a population. Individuals can be either healthy or
> infected and the process evolves in time, allowing for infected individuals
> to become healthy and for healthy individuals to be infected by some of
> their infected neighbors. The process can be visualized by a graphical
> representation that depicts the (random) collection of cure times and
> transmission times. I will present two variants of the contact process that
> are built by considering different distributions for the cure and
> transmission marks in this graphical representation: Contact Process on
> Dynamic Edges introduced by Linker and Remenik and a generalization of the
> Renewal Contact Process introduced by Fontes, Marchetti, Mountford and
> Vares. In both models we will see ideas of how one can verify if there is a
> positive probability that the infection survives forever or not, depending
> on the model's parameters.
>
> *Bio:*
> Graduação e mestrado na UFMG, doutorado pelo IMPA, pós-doc na Unicamp,
> UFMG e USP, atualmente professor na UFRJ. Atualmente trabalha com modelos
> de percolação, passeios aleatórios e processos de contato.
>
> ===============================
> /* Michel H. Montoril,
>  * Assistant Professor,
>  * Department of Statistics,
>  * Federal University of São Carlos,
>  * São Carlos, SP, 13565-905, Brazil
>  */
>
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