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

Sex Maio 26 10:05:04 -03 2023

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 [1]). 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 [2], Brazil 
> HEAD AND PI, Statistical Learning Laboratory (SaLLy) [3] 
> PRESIDENT-ELECT, International Society for Business and [4]Industrial Statistics [4] 
> 
> (FOUNDING) CHAIR, SIG on Data Science, of the International Statistical Institute [5] 
> PAST-PRESIDENT, Brazilian Region of the International Biometric Society [6] 
> VICE-COORDINATOR, Specialization in Data Science and Big Data [7] 
> MEMBER OF THE BOARD OF DIRECTORS, Brazilian Statistical Association [8] 
> EDITOR FOR: CompStat [9], SOIC [10], Biom. Letters [11], Braz. J. Biom. [12] 
> 
> CV LATTES: http://lattes.cnpq.br/0029960374321970
> 
> WEB: www.paulocanas.org [13]
> --------------------------------------------------------------------------------------------------------------
> 
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Links:
------
[1] http://www.SaLLy.ufba.br
[2] http://ufba.br
[3] http://sally.ufba.br/
[4] https://www.isbis-isi.org/
[5] https://www.isi-web.org/
[6] http://www.rbras.org.br/
[7] http://ecd.ufba.br
[8] https://www.redeabe.org.br/
[9] https://www.springer.com/journal/180
[10] http://www.iapress.org/index.php/soic
[11] http://www.up.poznan.pl/biometrical.letters/
[12] http://www.biometria.ufla.br/index.php/BBJ
[13] http://www.paulocanas.org
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