Stochastic analysis (Record no. 31036)

000 -LEADER
fixed length control field a
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220609b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811588662
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.22
Item number KUS
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Kusuoka, Shigeo
245 ## - TITLE STATEMENT
Title Stochastic analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer,
Date of publication, distribution, etc 2020
Place of publication, distribution, etc Singapore :
300 ## - PHYSICAL DESCRIPTION
Extent xii, 218 p. ;
Other physical details ill.,
Dimensions 23 cm
365 ## - TRADE PRICE
Price amount 34.99
Price type code EUR
Unit of pricing 86.00
490 ## - SERIES STATEMENT
Series statement Monographs in Mathematical Economics
Volume number/sequential designation v.3
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc This book is intended for university seniors and graduate students majoring in probability theory or mathematical finance. In the first chapter, results in probability theory are reviewed. Then, it follows a discussion of discrete-time martingales, continuous time square integrable martingales (particularly, continuous martingales of continuous paths), stochastic integrations with respect to continuous local martingales, and stochastic differential equations driven by Brownian motions. In the final chapter, applications to mathematical finance are given. The preliminary knowledge needed by the reader is linear algebra and measure theory. Rigorous proofs are provided for theorems, propositions, and lemmas. In this book, the definition of conditional expectations is slightly different than what is usually found in other textbooks. For the Doob-Meyer decomposition theorem, only square integrable submartingales are considered, and only elementary facts of the square integrable functions are used in the proof. In stochastic differential equations, the Euler-Maruyama approximation is used mainly to prove the uniqueness of martingale problems and the smoothness of solutions of stochastic differential equations.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical Economic
Topical term or geographic name as entry element Stochastic Analysis
Topical term or geographic name as entry element Monographs
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent location Current location Date acquired Cost, normal purchase price Full call number Barcode Date last seen Koha item type
          DAIICT DAIICT 2022-06-02 3009.14 519.22 KUS 033064 2022-06-09 Books

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