{"id":24548,"date":"2003-10-07T00:00:00","date_gmt":"2003-10-07T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/aplicacion-de-metodos-numericos-en-inferencia-bayesiana-implementacion-de-un-metodo-bayesiano-robusto\/"},"modified":"2003-10-07T00:00:00","modified_gmt":"2003-10-07T00:00:00","slug":"aplicacion-de-metodos-numericos-en-inferencia-bayesiana-implementacion-de-un-metodo-bayesiano-robusto","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/aplicacion-de-metodos-numericos-en-inferencia-bayesiana-implementacion-de-un-metodo-bayesiano-robusto\/","title":{"rendered":"Aplicaci\u00f3n de m\u00e9todos num\u00e9ricos en inferencia bayesiana: implementaci\u00f3n de un m\u00e9todo bayesiano robusto"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Javier Portela Garc\u00eda-miguel <\/strong><\/h2>\n<p>El objetivo de este trabajo es desarrollar t\u00e9cnicas para la aplicaci\u00f3n de la familia de distribuciones potencial exponencial, dentro del marco de la inferencia bayesiana, con especial incidencia en el problema de selecci\u00f3n de modelos bayesianos.  en particular, se presenta una generalizaci\u00f3n de esta familia, y se desarrollan un m\u00e9todo monte-carlo, un m\u00e9todo de simulaci\u00f3n v\u00eda muestreo de gibbs y un m\u00e9todo de simulaci\u00f3n que utiliza una representaci\u00f3n en mixturas de esta familia, para establecer inferencias sobre las distribuciones a posteriori surgidas del planteamiento bayesiano.  a trav\u00e9s del par\u00e1metro de control de curtosis puede plantearse un contraste bayesiano de hip\u00f3tesis nula puntual para contrastar normalidad de los datos en el marco de esta familia. Se plantea este contraste desde un enfoque basado en medidas de discrepancia, presentando una medida basada en el c\u00e1lculo de regiones de m\u00e1xima densidad a posteriori y haciendo un estudio de simulaci\u00f3n.  finalmente se aplican las t\u00e9cnicas desarrolladas anteriormente en el marco de modelos bayesianos, concretamente en modelos lineales, modelos no lineales, y modelos longitudinales, poniendo de relieve el inter\u00e9s de la utilizaci\u00f3n de esta familia en problemas de robustez en modelos bayesianos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Aplicaci\u00f3n de m\u00e9todos num\u00e9ricos en inferencia bayesiana: implementaci\u00f3n de un m\u00e9todo bayesiano robusto<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Aplicaci\u00f3n de m\u00e9todos num\u00e9ricos en inferencia bayesiana: implementaci\u00f3n de un m\u00e9todo bayesiano robusto <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Javier Portela Garc\u00eda-miguel <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Complutense de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 10\/07\/2003<\/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>Miguel Angel Gomez Villegas<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: eusebio Gomez sanchez-manzano <\/li>\n<li> Horra navarro Juli\u00e1n de la (vocal)<\/li>\n<li>Francisco Javier Gir\u00f3n gonz\u00e1lez-torre (vocal)<\/li>\n<li>Juan  Miguel Marin diazaraque (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Javier Portela Garc\u00eda-miguel El objetivo de este trabajo es desarrollar t\u00e9cnicas para la aplicaci\u00f3n de la familia [&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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