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

Sex Maio 26 10:14:41 -03 2023

Bom dia Dalton,

Inicialmente o nosso plano era que seja totalmente presencial. Mas iremos
verificar a possibilidade de fazer a transmissão online. Se conseguirmos,
avisarei aqui.

Um abraço,
Paulo.

----------------------------------------------------------------------------------------------------
----------
Paulo Canas Rodrigues
*Professor and Head*, Department of Statistics, Federal University of Bahia
<http://ufba.br>, Brazil
*Head and PI*, Statistical Learning Laboratory (SaLLy)
<http://sally.ufba.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/>
*Past-President*, Brazilian Region of the International Biometric Society
<http://www.rbras.org.br/>
*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/>, Braz. J. Biom.
<http://www.biometria.ufla.br/index.php/BBJ>

*CV Lattes*: http://lattes.cnpq.br/0029960374321970
*Web*: www.paulocanas.org
----------------------------------------------------------------------------------------------------
----------

On Fri, May 26, 2023 at 10:05 AM <dalton.andrade em ufsc.br> wrote:

> Paulo,
>
>  Bom dia.
>
>  Não será possível assistir os Seminários online?
>
>  Um abraço,
>
> Dalton.
>
> Em 25/05/2023 21:15, Paulo C Rodrigues escreveu:
>
> Prezados Colegas,
>
> Temos o prazer de anunciar dois seminários, organizados na série
> de Seminários em Estatística e Ciência de Dados, do Departamento de
> Estatística da UFBA, em colaboração com o SaLLy (Statistical Learning
> Laboratory, www.SaLLy.ufba.br). Informação abaixo.
>
> Pedimos que partilhem com os colegas que possam participar.
> Um abraço,
> Paulo.
>
> =========================================================
> *Palestrante*: Wagner Bonat (Universidade Federal do Paraná, PR, Brasil)
> *Dia e hora*: 30/05/2023 às 15h00
> *Local*: Auditório do Instituto de Matemática e Estatística da
> Universidade Federal da Bahia (presencial)
>
> *Title*: Multivariate Covariance Generalized Linear Models with
> applications in R.
>
> *Abstract*: In this talk I will present a recent proposed framework for
> non-normal multivariate data analysis called multivariate covariance
> generalized linear models (McGLMs), designed to handle multivariate
> response variables, along with a wide range of temporal and spatial
> correlation structures defined in terms of a generalized Kronecker product.
> The models take non-normality into account in the conventional way by means
> of a variance function, and the mean structure is modelled by means of a
> link function and a linear predictor. The covariance structure is modelled
> by means of a covariance link function combined with a matrix linear
> predictor involving known matrices. The models are fitted using an
> efficient Newton scoring algorithm based on quasi-likelihood and Pearson
> estimating functions, using only second-moment assumptions. McGLMs provide
> a unified approach to a wide variety of different types of response
> variables and covariance structures, including multivariate extensions of
> repeated measures, time series, longitudinal, spatial and spatio-temporal
> data. Furthermore, I present the computational implementation in R through
> the package mcglm. Illustrations include mixed models, longitudinal data
> analysis, spatial models for areal data, models to deal with mixed outcomes
> and multivariate models for count data using the Poisson-Tweedie
> distribution.
>
> *Bio*: Wagner Hugo Bonat is Researcher and Lecturer of the Department of
> Statistics at Paraná Federal University - UFPR, where he has been since
> 2010. He is the Head of the Data Science and Big Data program (DSBD) and a
> member of the Laboratory of Statistics and Geoinformation (LEG). He
> received a B.S. from Paraná Federal University in 2008, and an M.S. from
> the Paraná Federal University in 2010. He received his Ph.D. in Mathematics
> and Computer Science from the University of Southern Denmark in 2016. His
> research lies on statistical modelling and estimating functions. Much of
> his work has been on extending the generalized linear model class to deal
> with multiple response variables. His main contribution is a new class of
> multivariate regression models called Multivariate Covariance Generalized
> Linear models (McGLMs) and the associated R package (mcglm).
> =========================================================
>
> =========================================================
> *Palestrante*: Hugo Carvalho (Universidade Federal do Rio de Janeiro, RJ,
> Brasil)
> *Dia e hora*: 31/05/2023 às 16h00
> *Local*: Auditório do Instituto de Matemática e Estatística da
> Universidade Federal da Bahia (presencial)
>
> *Title*: Bayesian restoration of audio degraded by low-frequency pulses
> modeled via Gaussian process
>
> *Abstract*: A common defect found when reproducing old vinyl and
> gramophone recordings with mechanical devices are the long pulses with
> significant low-frequency content caused by the interaction of the
> arm-needle system with deep scratches or even breakages on the media
> surface. I will present a novel Bayesian approach capable of jointly
> estimating the pulse location, interpolating the almost annihilated signal
> underlying the strong discontinuity that initiates the pulse, and also
> estimating the long pulse tail by a simple Gaussian Process, allowing its
> suppression from the corrupted signal. Controlled experiments indicate that
> the proposed method, while requiring significantly less user intervention,
> achieves perceptual results similar to those of previous approaches and
> performs well when dealing with naturally degraded signals.
>
> *Bio*: Hugo was born in São Paulo, Brazil, and received the Applied
> Mathematics degree from the Federal University of Rio de Janeiro (UFRJ) in
> 2011, the M.Sc. degree from IM/UFRJ in Applied Mathematics in 2013
> (monograph in Portuguese - An Introduction to Singularities in General
> Relativity), and finally, in 2017, the D.Sc. degree from COPPE/UFRJ in
> Electrical Engineering, area Signal Processing. Hugo is Assistant Professor
> of the Department of Statistical Methods from the Federal University of Rio
> de Janeiro, member of the MusMat Research Group and member of the editorial
> board of MusMat • Brazilian Journal of Music and Mathematics. Fortunately,
> he is able to merge his passions in his work: Music and Mathematics, being
> applications of Statistics to this fascinating intersection, his main
> research interest. Hugo is also interested in Music Information Retrieval,
> Statistical Signal Processing and Computational Statistics. In his spare
> time he likes to brew beer at home with his wife, play classical guitar,
> learn how to play the harmonica, study music composition (and compose!) and
> paint in watercolor.
> =========================================================
>
>
>
>
>
>
> ----------------------------------------------------------------------------------------------------
> ----------
> Paulo Canas Rodrigues
> *Professor and Head*, Department of Statistics, Federal University of
> Bahia <http://ufba.br>, Brazil
> *Head and PI*, Statistical Learning Laboratory (SaLLy)
> <http://sally.ufba.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/>
> *Past-President*, Brazilian Region of the International Biometric Society
> <http://www.rbras.org.br/>
> *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/>, Braz. J. Biom.
> <http://www.biometria.ufla.br/index.php/BBJ>
>
> *CV Lattes*: http://lattes.cnpq.br/0029960374321970
> *Web*: www.paulocanas.org
>
> ----------------------------------------------------------------------------------------------------
> ----------
>
>
>
>
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