{"id":12888,"date":"2018-03-09T08:58:57","date_gmt":"2018-03-09T08:58:57","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/analisis-bayesiano-de-problemas-con-datos-imperfectos\/"},"modified":"2018-03-09T08:58:57","modified_gmt":"2018-03-09T08:58:57","slug":"analisis-bayesiano-de-problemas-con-datos-imperfectos","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/matematicas\/analisis-bayesiano-de-problemas-con-datos-imperfectos\/","title":{"rendered":"An\u00e1lisis bayesiano de problemas con datos imperfectos"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Manuel Ru\u00edz Camacho <\/strong><\/h2>\n<p>En la inferencia estad\u00edstica se denominan datos imperfectos a los que proceden de observaciones err\u00f3neas o incompletas, cuyo errores siguen pautas aleatroias, descritas por par\u00e1metros de error, que supondremos independientes de los par\u00e1metros de inter\u00e9s.  las aportaciones esenciales de la tesis al tratamiento bayesiano de la inferencia basada en datos imperfectos son:  en cada modelo baysesiano se incluye informaci\u00f3n ficticia mediante variables latentes, que facilitan tanto la expresi\u00f3n de las densidades a posteriori de los par\u00e1metros como los algorimtos necesarios para generar muestras de las mismas.  se utilizan estas variables latentes para extender a diversos problemas basados en procesos moultinomiales los resultados obtenidos en los procesos de bernoulli y se aplican al problema de las predicciones basadas en sondeos electorales.  se introducen variables latentes en un modelo relativo a procesos de poisson con recuentos incompletos, que se aplica la problema de estimaci\u00f3n del n\u00famero de delitos cometidos en una ciudad, y se generaliza a un modelo jer\u00e1rquico en el que se cambian recuentos procedentes de varias poblaciones.  se analizan los efectos de introducir densidades a priori impropias par los hiperpar\u00e1metros en los modelos jer\u00e1rquicos relativos a procesos de poisson y multinomiales.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>An\u00e1lisis bayesiano de problemas con datos imperfectos<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 An\u00e1lisis bayesiano de problemas con datos imperfectos <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Manuel Ru\u00edz Camacho <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 M\u00e1laga<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 22\/09\/2001<\/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>torre Gir\u00f3n Gonz\u00e1lez<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: Miguel angel Gomez villegas <\/li>\n<li>layachi Imlahi (vocal)<\/li>\n<li>sixto R\u00edos ins\u00faa (vocal)<\/li>\n<li>enrique Caro guerra (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Manuel Ru\u00edz Camacho En la inferencia estad\u00edstica se denominan datos imperfectos a los que proceden de observaciones [&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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