8vo (24 cm), XIII, [1], 207, [1] pp. Publisher's laminated boards (minor shelf wear; front free endpaper and two leaves marked at the head). This book introduces the fundamental concepts of probability theory, including independence, expectation, convergence in law, and almost-sure convergence, along with concise overviews of more advanced topics such as Markov chains, stochastic processes, Bayesian decision theory, and information theory.

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Bibliographic Details

Title

An Introduction to Probabilistic Modeling (Undergraduate Texts in Mathematics)

Publisher

Springer

Publication Date

1988

Language

English

ISBN 10

0387964606

ISBN 13

9780387964607

Binding

Hardcover

Condition

Very Good

Seller catalogs

Mathematics

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Synopsis

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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Specializing in mathematical sciences, Church Slavonic and Slavic books, Eastern European history, travels and topography, bibliography, history and art of the book, history of libraries and collections

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Leopolis Volodymyr Dmyterko
Krowoderska 33 / 7A, Krak�w, 31141, Poland

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