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This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy.
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Über die Autorin bzw. den Autor
Jean-François Collet received his PhD from the University of Bloomington in 1992 and has been Maître de Conférences at the Laboratoire J.A. Dieudonné, Université de Nice Sophia-Antipolis since 1993. Professor Collet’s research interests include Partial Differential Equations and Information theory.
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This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy.
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Discrete stochastic processes and applications.
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Softcover. Ex-library with stamp and library-signature. GOOD condition, some traces of use. C-02996 9783319740171 Sprache: Englisch Gewicht in Gramm: 550. Artikel-Nr. 2488890
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Discrete Stochastic Processes and Applications-
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Discrete Stochastic Processes and Applications (Universitext)
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Zustand: New. pp. 220. Artikel-Nr. 370854897
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Discrete Stochastic Processes and Applications
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Paperback. Zustand: Brand New. 220 pages. 9.00x6.00x0.50 inches. In Stock. Artikel-Nr. __3319740172
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Discrete Stochastic Processes and Applications
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Paperback. Zustand: Brand New. 220 pages. 9.00x6.00x0.50 inches. In Stock. Artikel-Nr. x-3319740172
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Discrete Stochastic Processes and Applications
ISBN 10: 3319740172
ISBN 13: 9783319740171
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Taschenbuch. Zustand: Neu. Neuware -This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design. The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch. Artikel-Nr. 9783319740171
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Discrete Stochastic Processes and Applications
ISBN 10: 3319740172
ISBN 13: 9783319740171
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This unique text for beginning graduate students gives a self-contained introduction to the mathematical properties of stochastics and presents their applications to Markov processes, coding theory, population dynamics, and search engine design.The book is ideal for a newly designed course in an introduction to probability and information theory. Prerequisites include working knowledge of linear algebra, calculus, and probability theory. The first part of the text focuses on the rigorous theory of Markov processes on countable spaces (Markov chains) and provides the basis to developing solid probabilistic intuition without the need for a course in measure theory. The approach taken is gradual beginning with the case of discrete time and moving on to that of continuous time. The second part of this text is more applied; its core introduces various uses of convexity in probability and presents a nice treatment of entropy. Artikel-Nr. 9783319740171
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