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  <titleInfo>
    <title>Probability theory</title>
    <subTitle>a comprehensive course</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Klenke, Achim</namePart>
    <role>
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    <dateIssued encoding="marc">2020</dateIssued>
    <edition>Third edition</edition>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
    <extent>xiv, 716 pages : illustrations ; 23 cm</extent>
  </physicalDescription>
  <abstract>This textbook provides a comprehensive and rigorous introduction to modern probability theory, covering measure theory, independence, random variables, limit theorems, conditional expectations, martingales, Markov chains, stochastic processes, Brownian motion, stochastic integrals, and stochastic differential equations. The text includes numerous examples, exercises, and applications for advanced students and researchers in mathematics, statistics, and related fields.</abstract>
  <note type="statement of responsibility">Achim Klenke.</note>
  <note>Includes bibliographical references (p. [591]-598) and index.</note>
  <subject authority="lcsh">
    <topic>Probabilities</topic>
  </subject>
  <classification authority="lcc">QA273.18 KLE</classification>
  <identifier type="isbn">9783030564018 (paperback)</identifier>
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