Probability Theory (Record no. 12032)

MARC details
000 -LEADER
fixed length control field 02427nam a2200265 4500
001 - CONTROL NUMBER
control field GB474
003 - CONTROL NUMBER IDENTIFIER
control field IN-BhIIT
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220107131223.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220104b ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781470419141
040 ## - CATALOGING SOURCE
Original cataloging agency IN-BhIIT
041 ## - LANGUAGE CODE
Language code of text eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2
Book number VAR/P
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Varadhan S. R. S
Relator term Author
245 ## - TITLE STATEMENT
Title Probability Theory
Statement of responsibility, etc S. R. S. Varadhan and Louis Nirenberg
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication New York :
Name of publisher Universities Press
Year of publication 2001.
300 ## - PHYSICAL DESCRIPTION
Number of Pages 176
Dimensions(size) 180 x 240 mm
490 ## - SERIES STATEMENT
Series statement American Mathematical Society
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes Bibliographical references and Index.
520 ## - SUMMARY, ETC.
Summary, etc his volume presents topics in probability theory covered during a first-year graduate course given at the Courant Institute of Mathematical Sciences. The necessary background material in measure theory is developed, including the standard topics, such as extension theorem, construction of measures, integration, product spaces, Radon-Nikodym theorem, and conditional expectation. In the first part of the book, characteristic functions are introduced, followed by the study of weak convergence of probability distributions.<br/><br/>Then both the weak and strong limit theorems for sums of independent random variables are proved, including the weak and strong laws of large numbers, central limit theorems, laws of the iterated logarithm, and the Kolmogorov three series theorem. The first part concludes with infinitely divisible distributions and limit theorems for sums of uniformly infinitesimal independent random variables.<br/><br/>The second part of the book mainly deals with dependent random variables, particularly martingales and Markov chains. Topics include standard results regarding discrete parameter martingales and Doob's inequalities. The standard topics in Markov chains are treated, i.e., transience, and null and positive recurrence. A varied collection of examples is given to demonstrate the connection between martingales and Markov chains.<br/><br/>Additional topics covered in the book include stationary Gaussian processes, ergodic theorems, dynamic programming, optimal stopping, and filtering. A large number of examples and exercises is included. The book is a suitable text for a first-year graduate course in probability.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Probabilities
Topical Term American Mathematical Society
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Nirenberg , Louis
Relator term Joint Author
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Gratis Book
Koha issues (borrowed), all copies 1
Holdings
Withdrawn status Lost status Damaged status Not for loan Collection code Home library Current library Date acquired Full call number Accession Number Price effective from Koha item type
Not withdrawn Not Lost not damaged     Central Library, IIT Bhubaneswar Central Library, IIT Bhubaneswar 04/01/2022 519.2 VAR/P GB474 04/01/2022 Gratis Book

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