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Exercises in probability : a guided tour from measure theory to random processes, via conditioning / Loïc Chaumont, Marc Yor.

By: Contributor(s): Material type: TextTextSeries: Cambridge series on statistical and probabilistic mathematicsPublication details: Cambridge : Cambridge University Press, 2012.Edition: 2nd edDescription: 1 online resource (xx, 279 pages)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781139526562
  • 1139526561
  • 9781139135351
  • 113913535X
  • 9781283528511
  • 1283528517
  • 9781139531238
  • 1139531239
  • 1107232309
  • 9781107232303
  • 1139528955
  • 9781139528955
  • 1139532421
  • 9781139532426
  • 1139527762
  • 9781139527767
  • 9786613840967
  • 6613840963
Subject(s): Genre/Form: Additional physical formats: Print version:: Exercises in probability.DDC classification:
  • 519.2/076 23
LOC classification:
  • QA273.25
Other classification:
  • MAT029000
Online resources:
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?
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 preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context"-- Provided by publisher
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

"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 preliminary and further reading. There are also many insightful notes to motivate the student and set the exercises in context"-- Provided by publisher

Includes bibliographical references (pages 270-277) and index.

Print version record.

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?

English.

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