ABSTRACT

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.

chapter I|26 pages

Preliminaries

chapter II|52 pages

Classical Martingale Theory

chapter III|31 pages

Processes and Stopping Times

chapter IV|25 pages

Section Theorems and Their Applications

chapter V|26 pages

Projections of Processes

chapter VII|18 pages

Local Martingales

chapter VIII|17 pages

Semimartingales and Quasimartingales

chapter IX|39 pages

Stochastic Integrals

chapter X|28 pages

Martingale Spaces H 1 and BMO

chapter XI|39 pages

The Characteristics of Semimartingales

chapter XII|30 pages

Changes of Measures

chapter XIII|34 pages

Predictable Representation Property

chapter XV|44 pages

Weak Convergence for Cadlag Processes

chapter XVI|48 pages

Weak Convergence for Semimartingales