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Introduction to Stochastic Integration (Probability and Its Applications) by K.L. Chung, R.J. Williams (auth.) is a nonfiction available to read on EtoBox.

What is Introduction to Stochastic Integration (Probability and Its Applications) about?

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability. Using the modern approach, the stochastic integral is defined for predictable integrands and local martingales; then It’s change of variable formula is developed for continuous martingales. Applications include a characterization of Brownian motion, Hermite polynomials of martingales, the Feynman–Kac functional and the Schrödinger equation. For Brownian motion, the topics of local time, reflected Brownian motion, and time change are discussed. New to the second edition are a discussion of the Cameron–Martin–Girsanov transformation and a final chapter which provides an introduction to stochastic differential equations, as well as many exercises for classroom use. This book will be a valuable resource to all mathematicians, statisticians, economists, and engineers employing the modern tools of stochastic analysis. __The text also proves that stochastic integration has made an important impact on

Who reads Introduction to Stochastic Integration (Probability and Its Applications)?

Author

K.L. Chung, R.J. Williams (auth.)

Publisher

Springer New York : Imprint: Birkhäuser

Published

2014

Language

EN

ISBN

9783764333867

Category

nonfiction

Subjects

Mathematics, Science, Stem