An Introduction to Probabilistic Modeling
(Sprache: Englisch)
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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Klappentext zu „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.
Inhaltsverzeichnis zu „An Introduction to Probabilistic Modeling “
- Preface- Abbreviations and Notations
- Basic Concepts and Elementary Models
- Discrete Probability
- Probability Densities
- Gaus and Poisson
- Convergences
- Additional Exercises
- Solutions to Additional Exercises
- Index
Bibliographische Angaben
- Autor: Pierre Bremaud
- 1994, 1st ed. 1988. Corr. 2nd printing 1994., 208 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer, New York
- ISBN-10: 0387964606
- ISBN-13: 9780387964607
- Erscheinungsdatum: 19.08.1994
Sprache:
Englisch
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