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

[Paulo C Rodrigues]

Prezados Colegas,

Apenas para relembrar do seminário de hoje às 16h30. O palestrante é
Eufrasio de Andrade Lima Neto e a sala é: meet.google.com/zuv-vvue-tuz.

Um abraço,
Paulo.

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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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On Tue, Sep 21, 2021 at 4:56 PM Paulo C Rodrigues <paulocanas em gmail.com>
wrote:

> Prezados Colegas,
>
> Na próxima terça-feira, dia 2*8 de setembro, às 16h30*, vamos dar
> continuidade aos Seminários em Estatística e Ciência de Dados da
> Universidade Federal da Bahia.
>
> Este seminário será ministrado pelo *Professor Eufrasio de Andrade Lima
> Neto*.
>
> Eufrásio is an Associate Professor in the Department of Statistics and
> faculty member of the Graduate Program in Computational and Mathematical
> Modelling at the Federal University of Paraíba. He has Bachelor’s and
> Master’s degrees in Statistics and Ph.D. in Computer Science (Machine
> Learning) from Federal University of Pernambuco, Brazil. His main research
> interests are statistical modeling, regression, generalized linear models,
> robust regression, clusterwise regression, machine learning, symbolic data
> analysis, interval-valued data and kernel methods. He is the author of over
> 50 technical papers in international journals and conferences. He was a
> Member of the Board of Directors of the Latin American Regional Section of
> the International Association of Statistics Computing and Executive
> Secretary of the Brazilian Association of Statistics. Currently, he is
> Member of the Board of Directors of the Brazilian Association of Statistics
> and an ISI Elected Member.
>
>
> Os detalhes do seminários são os seguintes:
>
> ====================================================
> *Title*: Interval joint robust regression method
>
> *Abstract*: Interval-valued data are needed to manage either the
> uncertainty related to measurements, or the variability inherent to the
> description of complex objects representing a group of individuals. A
> number of regression methods suitable to interval variables describing
> variability of complex objects are already available. However, less
> attention has been given to methods that, simultaneously, take into account
> the full interval information and are resistant to interval outlier
> observations, even with the frequent presence of atypical observations on
> interval-valued data sets. This paper proposes a new robust linear
> regression method for interval variables, where the presence of outliers
> either in the center or in the radius penalizes both the center and the
> radius regression models. Moreover, the interval observations with outliers
> on both center and radius are more penalized than those observations with
> outliers only in the center (or in the radius).  Besides, this paper
> provides a suitable iterative algorithm to estimate the parameters of the
> proposed method. The algorithm estimates the parameters of the center (or
> of the radius) model taking into account both information of the center and
> the radius. The convergence and time complexity of the iterative algorithm
> are also presented. Finally, the performance of the new method is compared
> with some previous robust regression approaches and evaluated on synthetic
> and real interval-valued data sets.
>
> *Data*: 16h30 do dia 28 de setembro de 2021
>
> *Transmissão ao vivo online em*: meet.google.com/zuv-vvue-tuz.
>
> ====================================================
>
> 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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