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Table of contents (5 chapters)
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Front Matter
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Preliminaries
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Front Matter
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Applications
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Front Matter
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Back Matter
About this book
Most of the material is scattered throughout available literature. However, this is the first volume that brings together all of this material in such an accessible format.
Probabilistic and Statistical Methods in Computer Science is intended for students in computer science and applied mathematics, for engineers and for all researchers interested in applications of probability theory and statistics. It is suitable for self study as well as being appropriate for a course or seminar.
Authors and Affiliations
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LORIA and Université Nancy 2, France
Jean-François Mari
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Université Henri Poincaré-Nancy 1, France
René Schott
Bibliographic Information
Book Title: Probabilistic and Statistical Methods in Computer Science
Authors: Jean-François Mari, René Schott
DOI: https://doi.org/10.1007/978-1-4757-6280-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2001
Hardcover ISBN: 978-0-7923-7286-8Published: 31 December 2000
Softcover ISBN: 978-1-4419-4877-9Published: 03 December 2010
eBook ISBN: 978-1-4757-6280-8Published: 17 April 2013
Edition Number: 1
Number of Pages: XVI, 236
Number of Illustrations: 11 b/w illustrations
Topics: Statistics, general, Artificial Intelligence, Probability Theory and Stochastic Processes, Computer Science, general, Signal, Image and Speech Processing