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Exercises in probability : a guided tour from measure theory to random processes, via conditioning

Author: L Chaumont; Marc Yor
Publisher: Cambridge : Cambridge University Press, 2012.
Series: Cambridge series on statistical and probabilistic mathematics.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
"Derived from extensive teaching experience in Paris, this second edition now includes over 100 exercises in probability. New exercises have been added to reflect important areas of current research in probability theory, including infinite divisibility of stochastic processes, past-future martingales and fluctuation theory. For each exercise the authors provide detailed solutions as well as references for  Read more...
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Genre/Form: Electronic books
Problems and exercises
Problems, exercises, etc
Additional Physical Format: Print version:
Chaumont, L. (Loïc).
Exercises in probability.
Cambridge ; New York : Cambridge University Press, 2012
(DLC) 2012002653
(OCoLC)773921342
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: L Chaumont; Marc Yor
ISBN: 9781139526562 1139526561 9781139135351 113913535X 9781283528511 1283528517
OCLC Number: 805071330
Description: 1 online resource (xx, 279 pages).
Contents: Preface to the Second Edition --
Preface to the First Edition --
1. Measure theory and probability --
2. Independence and conditioning --
3. Gaussian variables --
4. Distributional computations --
5. Convergence of random variables --
6. Random processes --
Where is the notion N discussed? --
Final suggestions: how to go further?
Series Title: Cambridge series on statistical and probabilistic mathematics.
Responsibility: Loïc Chaumont, Marc Yor.

Abstract:

Over 100 exercises with detailed solutions, insightful notes and references for further reading. Ideal for beginning researchers.  Read more...

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'In conclusion, this is an excellent book, which should be in every library, and also on the bookshelf of anyone with interests in advanced probability and random processes.' Society for Industrial Read more...

 
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