<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-06-27T13:55:51Z</responseDate><request verb="GetRecord" identifier="oai:docta.ucm.es:20.500.14352/56903" metadataPrefix="mods">https://docta.ucm.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:docta.ucm.es:20.500.14352/56903</identifier><datestamp>2024-07-15T13:24:28Z</datestamp><setSpec>com_20.500.14352_14</setSpec><setSpec>col_20.500.14352_15</setSpec></header><metadata><mods:mods xmlns:mods="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
   <mods:name>
      <mods:namePart>Gómez Villegas, Miguel Ángel</mods:namePart>
   </mods:name>
   <mods:name>
      <mods:namePart>Marín Díazaraque, Juan Miguel</mods:namePart>
   </mods:name>
   <mods:extension>
      <mods:dateAvailable encoding="iso8601">2023-06-20T16:45:56Z</mods:dateAvailable>
   </mods:extension>
   <mods:extension>
      <mods:dateAccessioned encoding="iso8601">2023-06-20T16:45:56Z</mods:dateAccessioned>
   </mods:extension>
   <mods:originInfo>
      <mods:dateIssued encoding="iso8601">2002</mods:dateIssued>
   </mods:originInfo>
   <mods:identifier type="citation">Gómez Villegas, M. Á., Marín Díazaraque, J. M. «Continuous Elliptical and Exponential Power Linear Dynamic Models». Journal of Multivariate Analysis, vol. 83, n.o 1, octubre de 2002, pp. 22-36. DOI.org (Crossref), https://doi.org/10.1006/jmva.2001.2049.</mods:identifier>
   <mods:identifier type="issn">0047-259X</mods:identifier>
   <mods:identifier type="doi">10.1006/jmva.2001.2049</mods:identifier>
   <mods:identifier type="uri">https://hdl.handle.net/20.500.14352/56903</mods:identifier>
   <mods:identifier type="officialurl">https//doi.org/10.1006/jmva.2001.2049</mods:identifier>
   <mods:identifier type="relatedurl">http://www.sciencedirect.com/science/journal/0047259X</mods:identifier>
   <mods:abstract>This paper shows a practical and easy to compute generalization of the linear dynamic model, made by assuming a continuous elliptical joint distribution for the parameters and errors. Updated distribution and probabilistic characteristics of the current and future vector of state and observations are given. As a particular simple submodel, the one with a multidimensional exponential power initial distribution is developed. An example to show its use is given</mods:abstract>
   <mods:language>
      <mods:languageTerm>eng</mods:languageTerm>
   </mods:language>
   <mods:accessCondition type="useAndReproduction">open access</mods:accessCondition>
   <mods:titleInfo>
      <mods:title>Continuous elliptical and exponential power linear dynamic models</mods:title>
   </mods:titleInfo>
   <mods:genre>journal article</mods:genre>
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