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Markov processes, Gaussian processes, and local times

By: Series: Cambridge studies in advanced mathematics ; 100Publication details: Cambridge University Press 2006 New York Description: x, 620 p. ; pb, 24 cmISBN:
  • 9781107403758
Subject(s): DDC classification:
  • 519.233 MAR
Summary: Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students
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Books Books IIT Gandhinagar General Stacks General 519.233 MAR (Browse shelf(Opens below)) 1 Available 030133

Includes bibliographical references and index.

Two foremost researchers present important advances in stochastic process theory by linking well understood (Gaussian) and less well understood (Markov) classes of processes. It builds to this material through 'mini-courses' on the relevant ingredients, which assume only measure-theoretic probability. This original, readable book is for researchers and advanced graduate students

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