<p><p>Expanding on the first edition of <i>An Introduction to Continuous-Time Stochastic Processes</i>, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete ex
An Introduction to Continuous Time Stochastic Processes: Theory, Models, and Applications to Finance, Biology, and Medicine
โ Scribed by Vincenzo Capasso, David Bakstein
- Publisher
- Birkhรคuser Boston
- Year
- 2004
- Tongue
- English
- Leaves
- 347
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
"This book is an introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, finance, and insurance using stochastic methods. An Introduction to Continuous-Time Stochastic Processes will be of interest to a broad audience of students, pure and applied mathematicians, and researchers or practitioners in mathematical finance, biomathematics, biotechnology, physics, and engineering. Suitable as a textbook for graduate or advanced undergraduate courses, the work may also be used for self-study or as a reference.
โฆ Table of Contents
front-matter......Page 1
front-mattera......Page 12
01Fundamentals of Probability......Page 13
02Stochastic Processes......Page 61
03The Itรด Integral......Page 137
04Stochastic Differential Equations......Page 170
front-matterb......Page 218
05Applications to Finance and Insurance......Page 219
06Applications to Biology and Medicine......Page 247
back-matter......Page 288
๐ SIMILAR VOLUMES
<p><p>Expanding on the first edition of <i>An Introduction to Continuous-Time Stochastic Processes</i>, this concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete ex
<P>This concisely written book is a rigorous and self-contained introduction to the theory of continuous-time stochastic processes. A balance of theory and applications, the work features concrete examples of modeling real-world problems from biology, medicine, industrial applications, finance, and
<p>This textbook, now in its third edition, offers a rigorous and self-contained introduction to the theory of continuous-time stochastic processes, stochastic integrals, and stochastic differential equations. Expertly balancing theory and applications, the work features concrete examples of modelin