{"id":1542,"date":"2024-07-09T15:12:35","date_gmt":"2024-07-09T18:12:35","guid":{"rendered":"https:\/\/www.ufrgs.br\/ppgest\/?p=1542"},"modified":"2024-08-09T10:19:12","modified_gmt":"2024-08-09T13:19:12","slug":"seminario-dr-marcio-valk","status":"publish","type":"post","link":"https:\/\/www.ufrgs.br\/ppgest\/seminario-dr-marcio-valk\/","title":{"rendered":"Semin\u00e1rio Dr. M\u00e1rcio Valk"},"content":{"rendered":"<table style=\"border-collapse: collapse; width: 102.649%; height: 277px;\">\n<tbody>\n<tr style=\"height: 287px;\">\n<td style=\"width: 100%; height: 277px;\">\n<div><\/div>\n<div><\/div>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-1541 aligncenter\" src=\"https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-300x300.png\" alt=\"\" width=\"630\" height=\"630\" srcset=\"https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-300x300.png 300w, https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-1024x1024.png 1024w, https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-150x150.png 150w, https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-768x768.png 768w, https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo-12x12.png 12w, https:\/\/www.ufrgs.br\/ppgest\/wp-content\/uploads\/2024\/07\/Seminario-Bernardo.png 1080w\" sizes=\"(max-width: 630px) 100vw, 630px\" \/><\/p>\n<p>&nbsp;<\/p>\n<div>\n<table style=\"border-collapse: collapse; width: 100%;\">\n<tbody>\n<tr>\n<td style=\"width: 100%;\">\n<div><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Temos o prazer de convidar a todos para mais uma palestra do Ciclo de Semin\u00e1rios 2024 do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS)<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><\/div>\n<div><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">T\u00edtulo: Infer\u00eancia para agrupamento.<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><\/div>\n<div style=\"text-align: justify;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Resumo: A infer\u00eancia para agrupamento ou clustering \u00e9 fundamental para descobrir a estrutura de grupos gen\u00e9ticos aos dados. M\u00e9todos de agrupamento que avaliam signific\u00e2ncia estat\u00edstica t\u00eam chamado recentemente a aten\u00e7\u00e3o devido \u00e0 sua import\u00e2ncia para a identifica\u00e7\u00e3o de padr\u00f5es em dados de alta dimens\u00e3o com aplica\u00e7\u00f5es em diversos campos cient\u00edficos. Apresentamos aqui uma abordagem baseada em U-estat\u00edsticas, especialmente adaptada para dados de alta dimens\u00e3o, que agrupamos os dados em grupos enquanto avaliamos a signific\u00e2ncia estat\u00edstica (p-valor) dessas parti\u00e7\u00f5es. Essa metodologia n\u00e3o \u00e9 param\u00e9trica e depende de poucas suposi\u00e7\u00f5es sobre os dados e, portanto, pode ser aplicada a uma ampla gama de conjuntos de dados. Neste semin\u00e1rio pretendemos apresentar o problema, divulgar alguns avan\u00e7os nessa \u00e1rea e mostrar algumas quest\u00f5es em aberto que direcionam a nossa pesquisa.<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><\/div>\n<div><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Data: ter\u00e7a-feira, 16\/07.<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Hor\u00e1rio: 13:30 \u00e0s 15h30<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\"><span style=\"vertical-align: inherit;\">Local: Sala 109, pr\u00e9dio 43324 &#8211; Instituto de Matem\u00e1tica e Estat\u00edstica da UFRGS&#8221;<\/span><\/span><\/span><\/span><\/span><\/div>\n<div><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<p>&nbsp;<\/p>\n<div><\/div>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<div><\/div>\n","protected":false},"excerpt":{"rendered":"<p>&nbsp; Temos o prazer de convidar a todos para mais uma palestra do Ciclo de Semin\u00e1rios 2024 do Programa de P\u00f3s-Gradua\u00e7\u00e3o em Estat\u00edstica da UFRGS (PPGEst-UFRGS) T\u00edtulo: Infer\u00eancia para agrupamento. Resumo: A infer\u00eancia para agrupamento ou clustering \u00e9 fundamental para descobrir a estrutura de grupos gen\u00e9ticos aos dados. M\u00e9todos de agrupamento que avaliam signific\u00e2ncia estat\u00edstica &hellip;<\/p>\n<p class=\"read-more\"> <a class=\"\" href=\"https:\/\/www.ufrgs.br\/ppgest\/seminario-dr-marcio-valk\/\"> <span class=\"screen-reader-text\">Semin\u00e1rio Dr. M\u00e1rcio Valk<\/span> Read More &raquo;<\/a><\/p>\n","protected":false},"author":1,"featured_media":1541,"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\/1542"}],"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=1542"}],"version-history":[{"count":10,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/1542\/revisions"}],"predecessor-version":[{"id":1713,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/posts\/1542\/revisions\/1713"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media\/1541"}],"wp:attachment":[{"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/media?parent=1542"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/categories?post=1542"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.ufrgs.br\/ppgest\/wp-json\/wp\/v2\/tags?post=1542"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}