Theory and Simulation of Random Phenomena Mathematical Foundations and Physical Applications /
The purpose of this book is twofold: first, it sets out to equip the reader with a sound understanding of the foundations of probability theory and stochastic processes, offering step-by-step guidance from basic probability theory to advanced topics, such as stochastic differential equations, which...
| Main Authors: | , , |
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| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
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| Edition: | 1st ed. 2018. |
| Series: | UNITEXT for Physics,
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| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- 1 Review of Probability Theory
- 2 Applications to Mathematical Statistics
- 3 Conditional Probability and Conditional Expectation
- 4 Markov Chains
- 5 Sampling of Random Variables and Simulation
- 6 Brownian Motion
- 7 Introduction to Stochastic Calculus and Ito Integral
- 8 Introduction to Stochastic Differential Equations and Applications
- Bibliography
- Solutions. .