National Science Library of Georgia

Stochastic processes / (Record no. 517950)

MARC details
000 -LEADER
fixed length control field 03578nam a22003498i 4500
001 - CONTROL NUMBER
control field CR9780511997044
003 - CONTROL NUMBER IDENTIFIER
control field UkCbUP
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200124160235.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
fixed length control field m|||||o||d||||||||
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr||||||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110110s2011||||enk o ||1 0|eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780511997044 (ebook)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781107008007 (hardback)
040 ## - CATALOGING SOURCE
Original cataloging agency UkCbUP
Language of cataloging eng
Description conventions rda
Transcribing agency UkCbUP
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA274.2
Item number .B375 2011
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.2/32
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bass, Richard F.,
Relator term author.
245 10 - TITLE STATEMENT
Title Stochastic processes /
Statement of responsibility, etc Richard F. Bass.
264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R)
Place of production, publication, distribution, manufacture (R) Cambridge :
Name of producer, publisher, distributor, manufacturer (R) Cambridge University Press,
Date of production, publication, distribution, manufacture, or copyright notice 2011.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (xv, 390 pages) :
Other physical details digital, PDF file(s).
336 ## - Content Type (R)
Content type term (R) text
Content type code (R) txt
Source (NR) rdacontent
337 ## - Media Type (R)
Media type term (R) computer
Media type code (R) c
Source (NR) rdamedia
338 ## - Carrier Type (R)
Carrier type term (R) online resource
Carrier type code (R) cr
Source (NR) rdacarrier
490 1# - SERIES STATEMENT
სერიის ცნობა Cambridge series on statistical and probabilistic mathematics ;
Volume number/sequential designation 33
500 ## - GENERAL NOTE
General note Title from publisher's bibliographic system (viewed on 05 Oct 2015).
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Basic notions -- 2. Brownian motion -- 3. Martingales -- 4. Markov properties of Brownian motion -- 5. The Poisson process -- 6. Construction of Brownian motion -- 7. Path properties of Brownian motion -- 8. The continuity of paths -- 9. Continuous semimartingales -- 10. Stochastic integrals -- 11. Itô's formula -- 12. Some applications of Itô's formula -- 13. The Girsanov theorem -- 14. Local times -- 15. Skorokhod embedding -- 16. The general theory of processes -- 17. Processes with jumps -- 18. Poisson point processes -- 19. Framework for Markov processes -- 20. Markov properties -- 21. Applications of the Markov properties -- 22. Transformations of Markov processes -- 23. Optimal stopping -- 24. Stochastic differential equations -- 25. Weak solutions of SDEs -- 26. The Ray-Knight theorems -- 27. Brownian excursions -- 28. Financial mathematics -- 29. Filtering -- 30. Convergence of probability measures -- 31. Skorokhod representation -- 32. The space C[0, 1] -- 33. Gaussian processes -- 34. The space D[0, 1] -- 35. Applications of weak convergence -- 36. Semigroups -- 37. Infinitesimal generators -- 38. Dirichlet forms -- 39. Markov processes and SDEs -- 40. Solving partial differential equations -- 41. One-dimensional diffusions -- 42. Lévy processes -- Appendices: A. Basic probability; B. Some results from analysis; C. Regular conditional probabilities; D. Kolmogorov extension theorem.
520 ## - SUMMARY, ETC.
Summary, etc This comprehensive guide to stochastic processes gives a complete overview of the theory and addresses the most important applications. Pitched at a level accessible to beginning graduate students and researchers from applied disciplines, it is both a course book and a rich resource for individual readers. Subjects covered include Brownian motion, stochastic calculus, stochastic differential equations, Markov processes, weak convergence of processes and semigroup theory. Applications include the Black-Scholes formula for the pricing of derivatives in financial mathematics, the Kalman-Bucy filter used in the US space program and also theoretical applications to partial differential equations and analysis. Short, readable chapters aim for clarity rather than full generality. More than 350 exercises are included to help readers put their new-found knowledge to the test and to prepare them for tackling the research literature.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Stochastic analysis.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Print version:
International Standard Book Number 9781107008007
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Cambridge series on statistical and probabilistic mathematics ;
Volume number/sequential designation 33.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1017/CBO9780511997044">https://doi.org/10.1017/CBO9780511997044</a>

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