{"id":22078,"date":"2018-03-09T09:12:07","date_gmt":"2018-03-09T09:12:07","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/simulacion-estocastica-en-inferencia-y-teoria-de-la-decision-bayesiana\/"},"modified":"2018-03-09T09:12:07","modified_gmt":"2018-03-09T09:12:07","slug":"simulacion-estocastica-en-inferencia-y-teoria-de-la-decision-bayesiana","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/malaga\/simulacion-estocastica-en-inferencia-y-teoria-de-la-decision-bayesiana\/","title":{"rendered":"Simulaci\u00f3n estoc\u00e1stica en inferencia y teor\u00eda de la decisi\u00f3n bayesiana"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Carlos Javier P\u00e9rez S\u00e1nchez <\/strong><\/h2>\n<p>En esta tesis se utiliza la simulaci\u00f3n estoc\u00e1stica para la resoluci\u00f3n de problemas que surgen en inferencia y teor\u00eda de la decisi\u00f3n bayesiana. Se estudian dos aspectos fundamentales a la simulaci\u00f3n estoc\u00e1stica. El primero consiste en la generaci\u00f3n de valores de distribuciones de probabilidad y, el segundo, en la aplicaci\u00f3n de los m\u00e9todos de simulaci\u00f3n para el estudio de modelos concretos.  se propone la utilizaci\u00f3n de conjuntos de puntos y sucesiones de baja discrepancia en lugar de n\u00fameros pseudo-aleatorios, esto es, la aplicaci\u00f3n de m\u00e9todos cuasi-montecarlo. Se realizan adaptaciones de algunas t\u00e9cnicas de generaci\u00f3n de distribuciones que no requieren el conocimiento de la constatne de normalizaci\u00f3n. tambi\u00e9n se propone un m\u00e9todo consistente en una aplicaci\u00f3n eficiente de la t\u00e9cnica del cociente de uniformes. En estos casos es necesario generar uniformemente en una regi\u00f3n objetivo, por ello, se presenta un m\u00e9todo de generaci\u00f3n uniforme en regiones multidimensionales acotadas arbitrarias que se basa en dos tipos particulares de distribuciones de contornos el\u00edpticos.  por \u00faltimo, se estudian dos aplicaciones, por un lado, se propone un m\u00e9todo general para estudiar la sensibilidad con respecto al modelo completo, considerando los cauntiles producidos por las muestras obtenidas mediante m\u00e9todos mcmc. Por otra, se propone una t\u00e9cnica de reducci\u00f3n de la varianza en problemas secuenciales bayesianos.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Simulaci\u00f3n estoc\u00e1stica en inferencia y teor\u00eda de la decisi\u00f3n bayesiana<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Simulaci\u00f3n estoc\u00e1stica en inferencia y teor\u00eda de la decisi\u00f3n bayesiana <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Carlos Javier P\u00e9rez S\u00e1nchez <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 M\u00e1laga<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 14\/03\/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>Jacinto Ramon Martin Jimenez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Francisco javier Gir\u00f3n gonz\u00e1lez-torre <\/li>\n<li>david R\u00edos insua (vocal)<\/li>\n<li>m. asuncion Rubio rubio (vocal)<\/li>\n<li>sixto R\u00edos insua (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Carlos Javier P\u00e9rez S\u00e1nchez En esta tesis se utiliza la simulaci\u00f3n estoc\u00e1stica para la resoluci\u00f3n de problemas [&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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