Stochastic Processes Using Python
$403.62
- Hardcover
516 pages
- Release Date
19 November 2026
Summary
This unique introductory textbook provides a practical, pedagogical introduction to Monte Carlo Methods and Stochastic Processes. The book can be used for a wide variety of advanced undergraduate and first-year graduate courses in Computational Statistics, Introduction to Stochastic Processes, and Monte Carlo Computational Methods. The intended audience is advanced undergraduates and graduate students who take a stochastic processes course as well as researchers who need a practical introduct…
Book Details
| ISBN-13: | 9781032890654 |
|---|---|
| ISBN-10: | 1032890657 |
| Author: | Vasilis Pagonis |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Chapman & Hall/CRC |
| Format: | Hardcover |
| Number of Pages: | 516 |
| Release Date: | 19 November 2026 |
| Dimensions: | 178mm x 254mm |
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Vasilis Pagonis
Vasilis Pagonis is Professor of Physics Emeritus at McDaniel College, Maryland, USA. His research area is applications of thermally and optically stimulated luminescence. He taught courses in mathematical physics, classical and quantum mechanics, analog and digital electronics and numerous general science courses. Dr. Pagonis’ resume lists more than 200 peer-reviewed publications in international journals. He is currently associate editor of the journal Radiation Measurements. He is co-author with Dr. Christopher Kulp of the undergraduate textbooks “Classical Mechanics: a computational approach, with examples in Python and Mathematica” (CRC Press, Second Edition, 2024), and “Mathematical methods using Python (CRC Press, 2025). He has also co-authored four graduate level textbooks in the field of luminescence dosimetry.
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