-64% OFFPrinceton University Press
Markov Processes from K. Itô's Perspective (English, Daniel W. Stroock)
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Specifications
| Publisher | Princeton University Press |
| Language | English |
| ISBN-13 | 9780691115436 |
| ISBN-10 | 0691115435 |
| Author | Daniel W. Stroock |
Product Description
About the Book
Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Itô's program. The modern theory of Markov processes was initiated by A. N. Kolmogorov. However, Kolmogorov's approach was too analytic to reveal the probabilistic foundations on which it re…
ISBN: 9780691115436
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Markov Processes from K. Itô's Perspective
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Princeton University Press
Who Should Read This
Beginners and newcomers to the subject, as well as curious general readers.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Markov Processes from K. Itô's Perspective is authored by Daniel W. Stroock.
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Markov Processes from K. Itô's Perspective is published by Princeton University Press.
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What is Markov Processes from K. Itô's Perspective about?
About the Book
Kiyosi Itô's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Itô's program. The mode...
Is Markov Processes from K. Itô's Perspective suitable for beginners?
Whether Markov Processes from K. Itô's Perspective is suitable for beginners depends on your background in Princeton University Press. Review the product description and specifications above for details on the target audience and difficulty level.
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