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  <titleInfo>
    <title>Stochastic Processes / [electronic resource]</title>
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  <name type="personal">
    <namePart>Bass, Richard F.</namePart>
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    <dateIssued encoding="marc">2011</dateIssued>
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    <extent>1 online resource (404 pages) : digital, PDF file(s).</extent>
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  <abstract>This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications. Pitched at a level accessible to beginning graduate students and researchers from applied disciplines, it is both a course book and a rich resource for individual readers. Subjects covered include Brownian motion, stochastic calculus, stochastic differential equations, Markov processes, weak convergence of processes and semigroup theory. Applications include the Black–Scholes formula for the pricing of derivatives in financial mathematics, the Kalman–Bucy filter used in the US space program and also theoretical applications to partial differential equations and analysis. Short, readable chapters aim for clarity rather than full generality. More than 350 exercises are included to help readers put their new-found knowledge to the test and to prepare them for tackling the research literature.</abstract>
  <note type="statement of responsibility">Richard F. Bass.</note>
  <note>Title from publisher's bibliographic system (viewed on 09 Oct 2015).</note>
  <subject authority="lcsh">
    <topic>Stochastic analysis</topic>
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  <classification authority="ddc" edition="23">519.2/32</classification>
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      <title>Cambridge Series in Statistical and Probabilistic Mathematics ; no. 33</title>
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    <titleInfo>
      <title>Cambridge Series in Statistical and Probabilistic Mathematics ; no. 33</title>
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  <identifier type="isbn">9780511997044 (ebook)</identifier>
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  <identifier type="uri">http://dx.doi.org/10.1017/CBO9780511997044</identifier>
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