An Introduction to Probabilistic Modeling /
Introduction to the basic concepts of probability theory: independence, expectation, convergence in law and almost-sure convergence. Short expositions of more advanced topics such as Markov Chains, Stochastic Processes, Bayesian Decision Theory and Information Theory.
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| Format: | eBook |
| Language: | English |
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New York, NY :
Springer New York,
1988.
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| Series: | Undergraduate texts in mathematics.
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| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Preface
- Abbreviations and Notations
- Basic Concepts and Elementary Models
- Discrete Probability
- Probability Densities
- Gaus and Poisson
- Convergences
- Additional Exercises
- Solutions to Additional Exercises
- Index.