<div dir="ltr"><p class="MsoNormal" style="margin:0cm 28.3pt 0.0001pt 0cm;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">O Ciclo de Palestras do Departamento de Estatística da Universidade Federal da Bahia convida todos os interessados para o seminário do Professor Aldo M. Garay <span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">do Departamento de Estatística da Universidade Federal de Pernambuco, UFPE<span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">. <p class="MsoNormal" style="margin:0cm 56.65pt 0.0001pt 1cm;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"> Título:<span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial" lang="EN-US"> Censored linear regression models for irregularly observed longitudinal data using the multivariate-t distribution. Resumo: In acquired immunodeficiency syndrome (AIDS) studies it is quite common to observe viral load measurements collected irregularly over time. Moreover, these measurements can be subjected to some upper and/or lower detection limits depending on the quantification assays. A complication arises when these continuous repeated measures have a heavy-tailed behavior. For such data structures, in this research, we propose a robust structure for a censored linear model based on the multivariate Student’s t-distribution. To compensate for the autocorrelation existing among irregularly observed measures, a damped exponential correlation structure is employed. An efficient expectation maximization type algorithm is developed for computing the maximum likelihood estimates. The methodology is illustrated through an application to a Human Immunodeficiency Virus-AIDS (HIV-AIDS).<span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial" lang="EN-US"> Data: 10/04/2017 Horário: 11:00hs <p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Local : Sala 12 do IME<span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">. <p class="MsoNormal" style="margin-bottom:0.0001pt;text-align:justify;line-height:normal;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Minicurrículo: <span style="font-size:10pt;font-family:"meiryo ui",sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">O Prof. Aldo M. Garay possui graduação em Estadística - Universidad Nacional Mayor de San Marcos (Lima, Perú), Mestrado em Estatística pelo IMECC-UNICAMP e Doutorado em Estatística pelo IME-USP. Atualmente é professor adjunto no Departamento de Estatística da Universidade Federal de Pernambuco (UFPE), atuando principalmente <span style="font-size:10pt;font-family:"meiryo ui",sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">em áreas relacionadas a <span style="font-size:10pt;font-family:"meiryo ui",sans-serif;color:black;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Modelos de Regressão Linear e Não Linear Censurados, Modelos Assimétricos e Inferência Bayesiana." Coordenadores: Lizandra C. Fabio (<a href="mailto:lizandra.fabio@ufba.br" target="_blank">lizandra.fabio@ufba.br</a>) Bruno Santos (<a href="mailto:brunorsantos@ufba.br" target="_blank">brunorsantos@ufba.br</a>)</div>