<?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>2026-04-17T17:37:54Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/44844" metadataPrefix="qdc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/44844</identifier><datestamp>2025-12-19T23:00:32Z</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>Finding the seed of uniform attachment trees</dc:title>
   <dc:creator>Lugosi, Gábor</dc:creator>
   <dc:creator>Pereira, Alan S.</dc:creator>
   <dc:subject>Random trees</dc:subject>
   <dc:subject>Uniform attachment</dc:subject>
   <dc:subject>Discrete probability</dc:subject>
   <dc:subject>Seed</dc:subject>
   <dcterms:abstract>A uniform attachment tree is a random tree that is generated dynamically. Starting from a fixed “seed” tree, vertices are added sequentially by attaching each vertex to an existing vertex chosen uniformly at random. Upon observing a large (unlabeled) tree, one wishes to find the initial seed. We investigate to what extent seed trees can be recovered, at least partially. We consider three types of seeds: a path, a star, and a random uniform attachment tree. We propose and analyze seed-finding algorithms for all three types of seed trees.</dcterms:abstract>
   <dcterms:abstract>Gábor Lugosi was supported by the Spanish Ministry of Economy and Competitiveness, Grant MTM2015-67304-P and FEDER, EU.</dcterms:abstract>
   <dcterms:issued>2020-05-28T08:42:46Z</dcterms:issued>
   <dcterms:issued>2020-05-28T08:42:46Z</dcterms:issued>
   <dcterms:issued>2019</dcterms:issued>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:relation>Electronic journal of probability. 2019 Jan 22;24(18):1-15</dc:relation>
   <dc:relation>info:eu-repo/grantAgreement/ES/1PE/MTM2015-67304-P</dc:relation>
   <dc:rights>Copyright for all articles in EJP is CC BY 4.0.</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>The Institute of Mathematical Statistics and the Bernoulli Society</dc:publisher>
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