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      <dc:title>The continuous-time hidden Markovmodel based on discretization. Properties of estimators and applications</dc:title>
      <dc:creator>Gámiz Pérez, María Luz</dc:creator>
      <dc:creator>Segovia García, María del Carmen</dc:creator>
      <dc:subject>Hidden Markov model</dc:subject>
      <dc:subject>Poisson process</dc:subject>
      <dc:subject>Maximun-likelihood estimation</dc:subject>
      <dc:subject>Asymptotic properties</dc:subject>
      <dc:date>2023-07-25T05:56:49Z</dc:date>
      <dc:date>2023-07-25T05:56:49Z</dc:date>
      <dc:date>2023-06-23</dc:date>
      <dc:type>journal article</dc:type>
      <dc:identifier>Gámiz, M.L., Limnios, N. &amp; Segovia-García, M.C. The continuous-time hidden Markov model based on discretization. Properties of estimators and applications. Stat Inference Stoch Process (2023). [https://doi.org/10.1007/s11203-023-09292-0]</dc:identifier>
      <dc:identifier>https://hdl.handle.net/10481/83958</dc:identifier>
      <dc:identifier>10.1007/s11203-023-09292-0</dc:identifier>
      <dc:language>eng</dc:language>
      <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
      <dc:rights>open access</dc:rights>
      <dc:rights>Atribución 4.0 Internacional</dc:rights>
      <dc:publisher>Springer Nature</dc:publisher>
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