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  <titleInfo>
    <title>Time series for economics and finance</title>
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  <name type="personal">
    <namePart>Linton, Oliver</namePart>
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  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">New York</placeTerm>
    </place>
    <publisher>Cambridge University Press</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxii, 430 p.  Includes bibliographical reference and index</extent>
  </physicalDescription>
  <abstract>Focusing on methods for data that are ordered in time, this textbook provides a comprehensive guide to analyzing time series data using modern techniques from data science. It is specifically tailored to economics and finance applications, aiming to provide students with rigorous training. Chapters cover Bayesian approaches, nonparametric smoothing methods, machine learning, and continuous time econometrics.</abstract>
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  <identifier type="isbn">9781009396264</identifier>
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    <recordCreationDate encoding="marc">260203</recordCreationDate>
    <recordChangeDate encoding="iso8601">20260203110359.0</recordChangeDate>
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