Description
This text has grown out of a two-semester course sequence in the Carnegie Mellon Master's program in Computational Finance. It contains numerous examples, exercises, and references. It assumes the reader is familiar with differential and integral calculus and basic concepts from calculus-based probability. It does not assume familiarity with measure-theoretic probability, but rather informally develops the necessary tools from this subject within the text.
Author: Steven Shreve
Publisher: Springer
Published: 12/01/2010
Pages: 550
Binding Type: Paperback
Weight: 1.74lbs
Size: 9.21h x 6.14w x 1.16d
ISBN13: 9781441923110
ISBN10: 144192311X
BISAC Categories:
- Business & Economics | Finance | General
- Mathematics | Applied
- Mathematics | Probability & Statistics | Stochastic Processes
About the Author
Steven E. Shreve is Co-Founder of the Carnegie Mellon MS Program in Computational Finance and winner of the Carnegie Mellon Doherty Prize for sustained contributions to education.
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