[ABE-L] Seminários em Estatística e Ciência de Dados - Departamento de Estatística da UFBA

[Paulo C Rodrigues]

Boa tarde a todos,

Relembrando do seminário de hoje às 16h30. O palestrante será  Ivor Cribben
e o tópico será Change point detection in high dimensional multivariate
time series networks.

O link de acesso será:  https://meet.google.com/tza-jvhn-upn.

Um abraço,
Paulo.





On Fri, Oct 22, 2021 at 10:20 AM Paulo C Rodrigues <paulocanas em gmail.com>
wrote:

> Prezados Colegas,
>
> Na próxima terça-feira, dia* 26 de outubro, às 16h30*, vamos dar
> continuidade aos Seminários em Estatística e Ciência de Dados da
> Universidade Federal da Bahia.
>
> Este seminário será ministrado pelo *Professor Ivor Cribben*,
> do Department of Accounting and Business Analytics, University of Alberta,
> Canada.
>
> Ivor Cribben is an Associate Professor of Statistics and the Xerox Faculty
> Fellow in the Department of Accounting and Business Analytics at the
> Alberta School of Business, University of Alberta. He holds a PhD in
> Statistics from Columbia University and a BA in Mathematics from Trinity
> College, Dublin.
>
>
> Os detalhes do seminários são os seguintes:
>
> ====================================================
> *Title*: Change point detection in high dimensional multivariate time
> series networks
>
> *Abstract*:Identifying change points in dynamic network structures has
> become increasingly popular across various domains, from neuroscience to
> telecommunication to finance. In this talk I will present two new change
> point detection methods. The first method presents each network snapshot of
> the data as a linear object and finds its respective univariate
> characterization via local and global network topological summaries. We
> adopt a change point detection method for (weakly) dependent time series
> based on efficient scores, and enhance the finite sample properties of the
> change point method by approximating the asymptotic distribution of the
> test statistic using the sieve bootstrap. The second method uses
> non-negative matrix factorization, an unsupervised dimension reduction
> technique, and a new binary search algorithm to identify multiple change
> points. We apply our methods to simulated and to resting-state and
> task-based functional magnetic resonance imaging (fMRI) data sets. For the
> resting-state data set, we examine the test-retest reliability of dynamic
> functional connectivity, while for the task-based data set, we explore
> network dynamics during the reading of *Harry Potter* and the *Sorcerer's
> Stone* and whether change points across subjects coincide with key plot
> twists.
>
> *Data*: 16h30 do dia 26 de outubro de 2021
>
> *Transmissão ao vivo online em*: https://meet.google.com/tza-jvhn-upn.
>
> ====================================================
>
> Partilhem com os vossos colegas!
>
> São todos bem-vindos!
>
> Um abraço,
> Paulo Canas Rodrigues
> Paulo Henrique Ferreira
>
>
> ----------------------------------------------------------------------------------------------------
> ----------
> Paulo Canas Rodrigues
> *Professor* at Federal University of Bahia <http://ufba.br>, Brazil
> *President*, Brazilian Region of the International Biometric Society
> <http://www.rbras.org.br>
> *President-Elect, International Society for Business and
> <https://www.isbis-isi.org/>**Industrial* *Statistics*
> <https://www.isbis-isi.org/>
> *(Founding) Chair,SIG on Data Science, of the International Statistical
> Institute <https://www.isi-web.org/>*
> *Vice-Coordinator*, Specialization in Data Science and Big Data
> <http://ecd.ufba.br>
> *Member of the Board of Directors, *Brazilian Statistical Association
> <https://www.redeabe.org.br/>
> *Editor for*: CompStat <https://www.springer.com/journal/180>, SOIC
> <http://www.iapress.org/index.php/soic>, Biom. Letters
> <http://www.up.poznan.pl/biometrical.letters/>, Rev.Bras.Biom.
> <http://www.biometria.ufla.br/index.php/BBJ>
>
> *CV Lattes*: http://lattes.cnpq.br/0029960374321970
> *Web*: www.paulocanas.org
>
> ----------------------------------------------------------------------------------------------------
> ----------
>
>
>
>
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