{"id":75442,"date":"2005-06-07T00:00:00","date_gmt":"2005-06-07T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/profundidad-para-datos-funcionales\/"},"modified":"2005-06-07T00:00:00","modified_gmt":"2005-06-07T00:00:00","slug":"profundidad-para-datos-funcionales","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/profundidad-para-datos-funcionales\/","title":{"rendered":"Profundidad para datos funcionales"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Sara Lopez Pintado <\/strong><\/h2>\n<p>La generalizaci\u00f3n de las nuevas tecnolog\u00edas y la creciente complejidad de los an\u00e1lisis estad\u00edsticos en distintas disciplinas, como econom\u00eda, biolog\u00eda o medicina, generan con frecuencia datos en forma de funciones. En esta tesis doctoral se propone una metodolog\u00eda para analizar datos funcionales basada en la idea de profundidad. En primer lugar, se introducen varias definiciones de la noci\u00f3n de profundidad para datos funcionales y se analizan sus propiedades. La versi\u00f3n finito-dimensional de estos nuevos conceptos proporciona una alternativa a todas las nociones de profundidad existentes que es computacionalmente factible en cualquier dimensi\u00f3n y, por tanto, adecuada para cualquier tipo de observaciones de gran complejidad. Adem\u00e1s, se extienden a datos funcionales las ideas de regiones recortadas y centrales y se estudian sus propiedades. Tambi\u00e9n se presentan estrategias de contraste de hip\u00f3tesis basadas en las nuevas definiciones para decidir si dos grupos de curvas proceden de la misma poblaci\u00f3n. Finalmente, se construyen procedimientos de clasificaci\u00f3n supervisada robustos y se aplican a datos de microarrays.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Profundidad para datos funcionales<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Profundidad para datos funcionales <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Sara Lopez Pintado <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Carlos III de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 06\/07\/2005<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Juan Romo Urroz<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: daniel Pe\u00f1a s\u00e1nchez de rivera <\/li>\n<li>Antonio Cuevas gonz\u00e1lez (vocal)<\/li>\n<li>wenceslao Gonz\u00e1lez manteiga (vocal)<\/li>\n<li>Mar\u00eda no Valderrama bonnet (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Sara Lopez Pintado La generalizaci\u00f3n de las nuevas tecnolog\u00edas y la creciente complejidad de los an\u00e1lisis estad\u00edsticos [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","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":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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