PROBABILISTIC METHOD FOR BIOINFORMATICS - WITH AN INTRODUCTION TO BAYESIAN NETWORKS

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 Financial and Marketing Informatics covers two of the most important applications of informatics and concentrates on approaches to solving realistic business problems. This book provides applications of informatics to areassuch as managerial options and decision making, investment science, marketing, and data mining, concentrating on the probabilistic and decision-theoretic approaches to informatics, emphasizing the use of Bayesian networks.

Rather than dwelling on rigor, algorithms, and proofs oftheorems, the authors focus on problem solving and practical applications. Included in this book are ample examples and exercises throughout, as well as six chapters that each walk through pragmatic situations. In many cases, solutions are expanded, as the authors discuss their final implementation using the software package Netica.