Exercises in Probability: A Guided Tour From Measure Theory To Random Processes,

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Artikelmerkmale

Artikelzustand
Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
subject_code
PBH
target_audience
Professional and scholarly
is_adult_product
false
edition_number
2
binding
paperback
edition
2
series_number
35
MPN
120 exercises
batteries_required
false
manufacturer
Cambridge University Press
volume
35
Brand
Cambridge University Press
series_title
Cambridge Series in Statistical and Probabilistic Mathematics, Se
number_of_items
1
pages
300
genre
MATHEMATICS
part_number
120 exercises
publication_date
2012-07-19T00:00:01Z
unspsc_code
55101500
batteries_included
false
ISBN
9781107606555
Kategorie

Über dieses Produkt

Product Identifiers

Publisher
Cambridge University Press
ISBN-10
1107606551
ISBN-13
9781107606555
eBay Product ID (ePID)
113473776

Product Key Features

Number of Pages
300 Pages
Publication Name
Exercises in Probability : a Guided Tour from Measure Theory to Random Processes, Via Conditioning
Language
English
Subject
Probability & Statistics / General
Publication Year
2012
Type
Textbook
Author
Marc Yor, Loïc Chaumont
Subject Area
Mathematics
Series
Cambridge Series in Statistical and Probabilistic Mathematics Ser.
Format
Trade Paperback

Dimensions

Item Height
0.6 in
Item Weight
18.8 Oz
Item Length
10 in
Item Width
7 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2012-002653
Reviews
Of the first edition: "...a very appealing and valuable book for independent study or as a companion book in advanced probability theory courses. Highly recommended." Choice Magazine, Of the first edition: "...a magnificent resource, not just in terms of shearing recent research results to their core but in encouraging putative researchers to think of an interplay between finite and infinite dimensional viewpoints for a given problem. In that sense, the authors take us into the mind of the researcher...For beginning researchers in stochastic mathematics, this book comes highly recommended and libraries should obtain a copy." Journal of the Royal Statistical Society, '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 and Applied Mathematics, '… extremely useful for graduate and postgraduate students and those who want to better understand advanced probability theory.' European Mathematical Society Newsletter, '... extremely useful for graduate and postgraduate students and those who want to better understand advanced probability theory.' European Mathematical Society Newsletter, '… although the book could profitably be used as a companion to a graduate course in probability theory, it is probably best designed for the doctoral student who can read it alongside the source material. Used in that way, the book is a magnificent resource … consistency and clarity of mathematical style … For beginning researchers in stochastic mathematics, this book comes highly recommended and libraries should obtain a copy.' Journal of the Royal Statistical Society: Series A, 'This book, written in an inspiring style, can be used together with almost any advanced course and strongly recommend to doctoral and master students in the area of probability and stochastic processes. Young researchers and university teachers as well as professionals can benefit a lot from this book.' Jordan M. Stoyanov, Zentralblatt MATH, Of the first edition: "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." SIAM Review
Dewey Edition
22
Series Volume Number
Series Number 35
Illustrated
Yes
Dewey Decimal
519.2076
Table Of Content
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?; References; Index.
Synopsis
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. Students will find these exercises extremely useful for easing the transition between simple and complex probabilistic frameworks. Indeed, many of the exercises here will lead the student on to frontier research topics in probability. Along the way, attention is drawn to a number of traps into which students of probability often fall. This book is ideal for independent study or as the companion to a course in advanced probability theory., Ideal for independent study or as a companion to a course in advanced probability theory, this book now includes over 100 exercises. In each case, the authors provide a detailed solution and references for preliminary and further reading. Insightful notes help to set the exercises in context.
LC Classification Number
QA273.25 .C492 2012

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