{"id":2307,"date":"2025-07-17T10:40:03","date_gmt":"2025-07-17T13:40:03","guid":{"rendered":"https:\/\/www.ufrgs.br\/ppgest\/?p=2307"},"modified":"2025-07-17T10:41:24","modified_gmt":"2025-07-17T13:41:24","slug":"ciclo-de-seminarios-2025-diego-ramos-canterle","status":"publish","type":"post","link":"https:\/\/www.ufrgs.br\/ppgest\/ciclo-de-seminarios-2025-diego-ramos-canterle\/","title":{"rendered":"Ciclo de Semin\u00e1rios 2025 &#8211; Diego Ramos Canterle"},"content":{"rendered":"<p>Temos o prazer de convidar a todos para mais um semin\u00e1rio do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS).<\/p>\n<div id=\"v1forwardbody1\">\n<div id=\"v1v1forwardbody1\">\n<div id=\"v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1v1v1v1v1v1v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1forwardbody1\">\n<div id=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1forwardbody1\">\n<div class=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xdj266r v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x11i5rnm v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xat24cr v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1mh8g0r v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1vvkbs v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x126k92a\">\n<div dir=\"auto\"><\/div>\n<\/div>\n<div class=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x11i5rnm v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xat24cr v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1mh8g0r v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1vvkbs v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xtlvy1s v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x126k92a\">\n<div dir=\"auto\">\n<p><strong>T\u00edtulo:<\/strong> Robust estimation in a multivariate normal regression model with general parameterization.<\/p>\n<p><strong>Resumo:<\/strong> This work explores the use of a non-extensive q-entropy measure for parameter estimation in a multivariate normal regression model with general parameterization. This model encompasses a large class of regression models that includes mixed models, errors-in-variables models, nonlinear models, among others. The resulting estimator, called the maximum L_q-likelihood estimator, depends on a tuning parameter q that is chosen to improve inferential accuracy in the presence of outliers. We derive the quantities required to obtain the parameter estimates and the asymptotic variance and covariance matrix of the maximum L_q-likelihood estimator under this general class of models. Some of these quantities are explained in detail for three specific cases, namely, mixed models, errors-in-variables models, and nonlinear models. Although the maximum L_q-likelihood estimator may not be consistent, we obtain a new estimator that satisfies this property through a calibration function.<br \/>\nAdditionally, we also obtain another robust and consistent estimator that minimizes an empirical version of the density power divergence, called the minimum density power divergence estimator.<br \/>\nTo evaluate the performance of our proposal, we conduct Monte Carlo simulations in the absence and presence of outliers under finite samples. Finally, we apply our method\u00a0to\u00a0actual\u00a0data.<\/p>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<div class=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x11i5rnm v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xat24cr v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1mh8g0r v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1vvkbs v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xtlvy1s v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x126k92a\">\n<div dir=\"auto\"><strong>Palestrante:<\/strong>\u00a0<span class=\"OYPEnA font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">Prof.<\/span><span class=\"OYPEnA font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\"> Dr. Diego Ramos Canterle (UFRGS)<\/span><\/div>\n<\/div>\n<div class=\"v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x11i5rnm v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xat24cr v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1mh8g0r v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x1vvkbs v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1xtlvy1s v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1v1x126k92a\">\n<div dir=\"auto\"><strong>Data:<\/strong> 22\/07\/2025<\/div>\n<div dir=\"auto\"><strong>Hor\u00e1rio<\/strong>:14h<\/div>\n<div dir=\"auto\"><strong>Local:\u00a0<\/strong>Sala\u00a0<span class=\"OYPEnA font-feature-liga-off font-feature-clig-off font-feature-calt-off text-decoration-none text-strikethrough-none\">A214, pr\u00e9dio 43111\u00a0<\/span>, Anfiteatro da qu\u00edmica \u2013 UFRGS<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Temos o prazer de convidar a todos para mais um semin\u00e1rio do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS). T\u00edtulo: Robust estimation in a multivariate normal regression model with general parameterization. Resumo: This work explores the use of a non-extensive q-entropy measure for parameter estimation in a multivariate normal regression model with general parameterization. &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.ufrgs.br\/ppgest\/ciclo-de-seminarios-2025-diego-ramos-canterle\/\"> <span class=\"screen-reader-text\">Ciclo de Semin\u00e1rios 2025 &#8211; Diego Ramos Canterle<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":2310,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"default","ast-global-header-display":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","footnotes":""},"categories":[13],"tags":[],"_links":{"self":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2307"}],"collection":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/comments?post=2307"}],"version-history":[{"count":1,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2307\/revisions"}],"predecessor-version":[{"id":2309,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/2307\/revisions\/2309"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media\/2310"}],"wp:attachment":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media?parent=2307"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/categories?post=2307"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/tags?post=2307"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}