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020 _a9781493936816
040 _aNISER LIBRARY
_beng
_cNISER LIBRARY
082 _a519.21
_bCOH-S
100 _aCohen, Samuel N.
245 _aStochastic calculus and applications
250 _a2nd edition
260 _aNew York, NY :
_bBirkhäuser,
_c2015.
300 _axxiii, 666 pages :
_billustrations
490 _aProbability and its applications,
_x2297-0371
504 _aIncludes bibliographical references and index
520 _aCompletely revised and greatly expanded, the new edition of this text takes readers who have been exposed to only basic courses in analysis through the modern general theory of random processes and stochastic integrals as used by systems theorists, electronic engineers and, more recently, those working in quantitative and mathematical finance. Building upon the original release of this title, this text will be of great interest to research mathematicians and graduate students working in those fields, as well as quants in the finance industry. New features of this edition include: End of chapter exercises; New chapters on basic measure theory and Backward SDEs; Reworked proofs, examples and explanatory material; Increased focus on motivating the mathematics; Extensive topical index. "Such a self-contained and complete exposition of stochastic calculus and applications fills an existing gap in the literature. The book can be recommended for first-year graduate studies. It will be useful for all who intend to work with stochastic calculus as well as with its applications."–Zentralblatt (from review of the First Edition)
650 _aComputer science
_xMathematics
650 _aDifferential equations, Partial
650 _aEconomics, Mathematical
650 _aElectrical engineering
650 _aProbabilities
650 _aStochastic analysis
650 _aQuantitative finance
700 _aElliott, Robert J.
856 _3Table of content
_uhttps://link.springer.com/content/pdf/bfm:978-1-4939-2867-5/1
856 _3Reviews
_uhttps://www.goodreads.com/book/show/33280474-stochastic-calculus-and-applications?ref=nav_sb_ss_1_13#CommunityReviews
942 _2udc
_cBK
999 _c35752
_d35752