{"id":22468,"date":"2003-07-04T00:00:00","date_gmt":"2003-07-04T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/metodologa%c2%adas-basadas-en-estimacion-espectral-para-prediccion-en-series-temporales-cortas\/"},"modified":"2003-07-04T00:00:00","modified_gmt":"2003-07-04T00:00:00","slug":"metodologa%c2%adas-basadas-en-estimacion-espectral-para-prediccion-en-series-temporales-cortas","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/metodologa%c2%adas-basadas-en-estimacion-espectral-para-prediccion-en-series-temporales-cortas\/","title":{"rendered":"Metodolog\u00edas basadas en estimaci\u00f3n espectral para predicci\u00f3n en series temporales cortas"},"content":{"rendered":"<h2>Tesis doctoral de <strong> In\u00e9s Portillo Garc\u00eda <\/strong><\/h2>\n<p>La presente tesis representa la culminaci\u00f3n de un trabajo de s\u00edntesis que pretende mostrar la viabilidad de la aplicaci\u00f3n de algoritmos avanzados de proceso digital de se\u00f1ales al campo de la econom\u00eda, concretamente a la pedicci\u00f3n de series econ\u00f3micas cortas.  el estudio se ha centrado en las seis econ\u00f3micas cuasi-peri\u00f3dicas, centr\u00e1ndose en el caso de disponer de pocos datos, situaci\u00f3n que puede causar problemas a los m\u00e9todos cl\u00e1sicos.  la tesis comienza con un cap\u00edtulo de introducci\u00f3n a la teor\u00eda de los sistemas en tiempo discreto, cap\u00edtulo necesario para sentar las bases de la perspectiva de an\u00e1lisis de series temporales que se va a utilizar en el trabajo. Asimismo se incluye una secci\u00f3n con la relaci\u00f3n entre las perspectivas y nomenclatura utilizada en el \u00e1mbito del an\u00e1lisis econom\u00e9trico de las series econ\u00f3micas y el an\u00e1lisis basado en t\u00e9cnicas de tratamiento digital de se\u00f1ales.  seguidamente se incluye un cap\u00edtulo dedicado a sentar las bases de los procedimientos de an\u00e1lisis y modelado de series formadas por exponenciales complejas en ruido, claves para el desarrollo de la tesis.  en los dos cap\u00edtulos siguientes se realizan y analizan dos procedimientos: un m\u00e9todo de ajuste con exponenciales complejas y un m\u00e9todo basado en las propiedades de la autoestructura de la matriz de autocorrelaci\u00f3n del proceso estoc\u00e1stico. Se presentan dichos procedimientos, se verifica la viabilidad de los m\u00e9todos, aplic\u00e1ndoles al an\u00e1lisis y predicci\u00f3n de segmentos con pocos datos de series econ\u00f3micas reales, concluy\u00e9ndose sus buenas prestaciones.  finalmente se proponen unas l\u00edneas de continuidad que permitir\u00e1n seguir con los trabajos iniciados en la tesis.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Metodolog\u00edas basadas en estimaci\u00f3n espectral para predicci\u00f3n en series temporales cortas<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Metodolog\u00edas basadas en estimaci\u00f3n espectral para predicci\u00f3n en series temporales cortas <\/li>\n<li><strong>Autor:<\/strong>\u00a0 In\u00e9s Portillo Garc\u00eda <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Complutense de Madrid<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/04\/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>Javier Portillo Garc\u00eda<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: vicente Quesada paloma <\/li>\n<li>eduardo Morales mart\u00ednez (vocal)<\/li>\n<li>angel Sarabria mart\u00ednez (vocal)<\/li>\n<li>ricardo Gimeno nogues (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de In\u00e9s Portillo Garc\u00eda La presente tesis representa la culminaci\u00f3n de un trabajo de s\u00edntesis que pretende mostrar [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[67149,43275,67148,43211,41052,3367],"class_list":["post-22468","post","type-post","status-publish","format-standard","hentry","category-sin-categoria","tag-angel-sarabria-Martinez","tag-eduardo-morales-Martinez","tag-ines-portillo-garcia","tag-javier-portillo-garcia","tag-ricardo-gimeno-nogues","tag-vicente-quesada-paloma"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/22468","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=22468"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/22468\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=22468"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=22468"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=22468"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}