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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">VMSTA</journal-id>
      <journal-title-group>
        <journal-title>Modern Stochastics: Theory and Applications</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2351-6054</issn>
      <issn pub-type="ppub">2351-6046</issn>
      <issn-l>2351-6046</issn-l>
      <publisher>
        <publisher-name>VTeX</publisher-name>
        <publisher-loc>Mokslininkų g. 2A, 08412 Vilnius, Lithuania</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">VMSTA0907</article-id>
      <article-id pub-id-type="doi">10.15559/vmsta0907</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Studies on generalized Yule models</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1971-214X</contrib-id>
          <name>
            <surname>Polito</surname>
            <given-names>Federico</given-names>
          </name>
          <email xlink:href="mailto:federico.polito@unito.it">federico.polito@unito.it</email>
          <xref ref-type="aff" rid="j_vmsta125_aff_001"/>
        </contrib>
        <aff id="j_vmsta125_aff_001">Dipartimento di Matematica, <institution>Università di Torino</institution>, Via Carlo Alberto 10, 10123, Torino, <country>Italy</country></aff>
      </contrib-group>
      <pub-date pub-type="ppub">
        <year>2018</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>3</day>
        <month>12</month>
        <year>2018</year>
      </pub-date>
      <volume content-type="ahead-of-print">0</volume>
      <issue>0</issue>
      <fpage>1</fpage>
      <lpage>15</lpage>
      <history>
        <date date-type="received">
          <day>16</day>
          <month>7</month>
          <year>2018</year>
        </date>
        <date date-type="rev-recd">
          <day>10</day>
          <month>11</month>
          <year>2018</year>
        </date>
        <date date-type="accepted">
          <day>16</day>
          <month>11</month>
          <year>2018</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2018 The Author(s). Published by VTeX</copyright-statement>
        <copyright-year>2018</copyright-year>
        <license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/4.0/">
          <license-p>Open access article under the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">CC BY</ext-link> license.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>We present a generalization of the Yule model for macroevolution in which, for the appearance of genera, we consider point processes with the order statistics property, while for the growth of species we use nonlinear time-fractional pure birth processes or a critical birth-death process. Further, in specific cases we derive the explicit form of the distribution of the number of species of a genus chosen uniformly at random for each time. Besides, we introduce a time-changed mixed Poisson process with the same marginal distribution as that of the time-fractional Poisson process.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>Yule model</kwd>
        <kwd>mixed Poisson processes</kwd>
        <kwd>time-fractional Poisson process</kwd>
        <kwd>order statistics property</kwd>
      </kwd-group>
      <funding-group>
        <award-group>
          <funding-source xlink:href="https://doi.org/10.13039/100007388">Compagnia di San Paolo</funding-source>
        </award-group>
        <award-group>
          <funding-source xlink:href="https://doi.org/10.13039/100012740">INdAM/GNAMPA</funding-source>
        </award-group>
        <funding-statement>F. Polito has been partially supported by the projects <italic>Memory in Evolving Graphs</italic> (Compagnia di San Paolo/Università di Torino), <italic>Sviluppo e analisi di processi Markoviani e non Markoviani con applicazioni</italic> (Università di Torino), and by INdAM/GNAMPA.</funding-statement>
      </funding-group>
    </article-meta>
  </front>
  <body></body>
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