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Fundamentals of probability / Saeed Ghahramani.
Upper Saddle River, N.J. : Prentice Hall, c1996
xv, 466, I-11p. : ill. ; 24cm.



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Information theory and statistics : a tutorial / Imre Csiszár, Paul C. Shields.
Hanover, MA : Now Publishers, 2004
vi, 115 p. : ill. ; 24 cm.

Explores the applications of information theory concepts in statistics, in the finite alphabet setting. The topics covered include large deviations, hypothesis testing, maximum likelihood estimation in exponential families, analysis of contingency tables, and iterative algorithms with an "information geometry" background.


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