<?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>2026-04-13T06:51:15Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/71763" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/71763</identifier><datestamp>2025-11-05T19:45:20Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><qdc:qualifieddc xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Optimal estimation of the local time and the occupation time measure for an α-stable Lévy process</dc:title>
   <dc:creator>Amorino, Chiara</dc:creator>
   <dc:creator>Jaramillo, Arturo</dc:creator>
   <dc:creator>Podolskij, Mark</dc:creator>
   <dc:subject>High frequency data</dc:subject>
   <dc:subject>Local time</dc:subject>
   <dc:subject>Mixed normal distribution</dc:subject>
   <dc:subject>Occupation time</dc:subject>
   <dc:subject>Stable Lévy processes</dc:subject>
   <dcterms:abstract>A novel theoretical result on estimation of the local time and the occupation time measure of an α-stable Lévy process with α∈(1,2)  is presented. The approach is based upon computing the conditional expectation of the desired quantities given high frequency data, which is an L2-optimal statistic by construction. The corresponding stable central limit theorems are proved and a statistical application is discussed. In particular, this work extends the results of [20], which investigated the case of the Brownian motion.</dcterms:abstract>
   <dcterms:abstract>The authors gratefully acknowledge financial support of ERC Consolidator Grant 815703 "STAMFORD: Statistical Methods for High Dimensional Diffusions."</dcterms:abstract>
   <dcterms:dateAccepted>2025-11-05T19:45:20Z</dcterms:dateAccepted>
   <dcterms:available>2025-11-05T19:45:20Z</dcterms:available>
   <dcterms:created>2025-11-05T19:45:20Z</dcterms:created>
   <dcterms:issued>2025-11-04T13:56:28Z</dcterms:issued>
   <dcterms:issued>2025-11-04T13:56:28Z</dcterms:issued>
   <dcterms:issued>2024</dcterms:issued>
   <dcterms:issued>2025-11-04T13:56:28Z</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>http://hdl.handle.net/10230/71763</dc:identifier>
   <dc:relation>Modern Stochastics: Theory and Applications. 2024;11(2):149-168</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/EC/H2020/815703</dc:relation>
   <dc:rights>© 2024 The Author(s). Published by VTeX. Open access article under the CC BY license.</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>VTeX</dc:publisher>
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