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Semimartingale Theory and Stochastic Calculus
Contributor(s): He, Wang, Yan (Author)
ISBN: 0849377153     ISBN-13: 9780849377150
Publisher: CRC Press
OUR PRICE:   $228.00  
Product Type: Hardcover - Other Formats
Published: September 1992
Qty:
Annotation: Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the semimartingale theory, and related stochastic calculus. The book emphasizes stochastic integration for semimartingales, characteristics of semimartingales, predictable representation properties and weak convergence of semimartingales. It also includes a concise treatment of absolute continuity and singularity, contiguity, and entire separation of measures by semimartingale approach. Two basic types of processes frequently encountered in applied probability and statistics are highlighted: processes with independent increments and marked point processes encountered frequently in applied probability and statistics. Semimartingale Theory and Stochastic Calculus is a self-contained and comprehensive book that will be valuable for research mathematicians, statisticians, engineers, and students.
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - Bayesian Analysis
- Science | Chemistry - General
Dewey: 519.287
LCCN: QA274
Physical Information: 1.23" H x 6.24" W x 9.92" (2.04 lbs) 560 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

Semimartingale Theory and Stochastic Calculus presents a systematic and detailed account of the general theory of stochastic processes, the semimartingale theory, and related stochastic calculus. The book emphasizes stochastic integration for semimartingales, characteristics of semimartingales, predictable representation properties and weak convergence of semimartingales. It also includes a concise treatment of absolute continuity and singularity, contiguity, and entire separation of measures by semimartingale approach. Two basic types of processes frequently encountered in applied probability and statistics are highlighted: processes with independent increments and marked point processes encountered frequently in applied probability and statistics.

Semimartingale Theory and Stochastic Calculus is a self-contained and comprehensive book that will be valuable for research mathematicians, statisticians, engineers, and students.