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  <titleInfo>
    <title>Financial Statistics and Data Analytics</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sathye, Milind</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Shuangzhe Liu</namePart>
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    </role>
  </name>
  <typeOfResource>text</typeOfResource>
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    <dateIssued encoding="marc">2021</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <extent>1 online-resource (232 p.) ix, 220 p. : </extent>
    <extent>ix, 220 p. :  ill. (some col.) ;  25 cm. </extent>
  </physicalDescription>
  <abstract>Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.</abstract>
  <note type="statement of responsibility">editors Shuangzhe Liu, Milind Sathye.</note>
  <note>Includes bibliographical references </note>
  <note>English.</note>
  <subject>
    <topic>Financial management</topic>
    <topic> Data processing</topic>
  </subject>
  <classification authority="ddc">658.150285 FIN</classification>
  <identifier type="isbn">9783039439751</identifier>
  <identifier type="isbn">3039439758</identifier>
  <identifier type="isbn">9783039439768</identifier>
  <identifier type="isbn">3039439766</identifier>
  <identifier type="isbn">9783039439751 (hbk)</identifier>
  <identifier type="lccn">2023403007</identifier>
  <identifier type="uri">https://directory.doabooks.org/handle/20.500.12854/68428</identifier>
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