Applied Probability
Applied Probability presents a unique blend of theory and applications, with special emphasis on mathematical modeling, computational techniques, and examples from the biological sciences. It can serve as a textbook for graduate students in applied mathematics, biostatistics, computational biology,...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
2010.
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| Edition: | Second. |
| Series: | Springer Texts in Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Basic Notions of Probability Theory
- Calculation of Expectations
- Convexity, Optimization, and Inequalities
- Combinatorics
- Combinatorial Optimization
- Poisson Processes
- Discrete-Time Markov Chains
- Continuous-Time Markov Chains
- Branching Processes
- Martingales
- Diffusion Processes
- Asymptotic Methods
- Numerical Methods
- Poisson Approximation
- Number Theory
- Appendix: Mathematical Review.