Limit this search to....

Nonlinear Expectations and Stochastic Calculus Under Uncertainty: With Robust Clt and G-Brownian Motion 2019 Edition
Contributor(s): Peng, Shige (Author)
ISBN: 3662599058     ISBN-13: 9783662599051
Publisher: Springer
OUR PRICE:   $123.49  
Product Type: Paperback - Other Formats
Published: September 2020
Qty:
Additional Information
BISAC Categories:
- Mathematics | Probability & Statistics - General
- Mathematics | Applied
Physical Information: 0.48" H x 6.14" W x 9.21" (0.72 lbs) 212 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

This book is focused on the recent developments on problems of probability model uncertainty by using the notion of nonlinear expectations and, in particular, sublinear expectations. It provides a gentle coverage of the theory of nonlinear expectations and related stochastic analysis. Many notions and results, for example, G-normal distribution, G-Brownian motion, G-Martingale representation theorem, and related stochastic calculus are first introduced or obtained by the author.

This book is based on Shige Peng's lecture notes for a series of lectures given at summer schools and universities worldwide. It starts with basic definitions of nonlinear expectations and their relation to coherent measures of risk, law of large numbers and central limit theorems under nonlinear expectations, and develops into stochastic integral and stochastic calculus under G-expectations. It ends with recent research topic on G-Martingale representation theorem and G-stochastic integral for locally integrable processes.

With exercises to practice at the end of each chapter, this book can be used as a graduate textbook for students in probability theory and mathematical finance. Each chapter also concludes with a section Notes and Comments, which gives history and further references on the material covered in that chapter.

Researchers and graduate students interested in probability theory and mathematical finance will find this book very useful.