Probabilistic Methods for Financial and Marketing Informatics

Richard E. Neapolitan

Xia Jiang

Morgan Kaufmann

The Bayesian network is one of the most important architectures for representing and reasoning with multivariate probability distributions. When used in conjunction with specialized informatics, possibilities of real-world applications are achieved. Probabilistic Methods for BioInformatics explains the application of probability and statistics, in particular Bayesian networks, to genetics. This book provides background material on probability, statistics, and genetics, and then moves on to discuss Bayesian networks and applications to bioinformatics. Rather than getting bogged down in proofs and algorithms, probabilistic methods used for biological information and Bayesian networks are explained in an accessible way using applications and case studies. The many useful applications of Bayesian networks that have been developed in the past 10 years are discussed. Forming a review of all the significant work in the field that will arguably become the most prevalent method in biological data analysis.

Probabilistic Methods for Bioinformatics: with an Introduction to Bayesian Networks

Computers & Technology

Networking & Cloud Computing

Foundations of Algorithms: Using C++ Pseudocode

Kumarss Naimipour

Jones Bartlett Publishers

Paperback International Edition ... Same contents as in the US edition at Low Cost !!

Foundations of Algorithms

Jones & Bartlett

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Books by Richard E. Neapolitan