Book Details

Information and Complexity in Statistical Modeling

Publication year: 2007

ISBN: 978-0-387-68812-1

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The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. The intuitive and fundamental concepts of complexity, learnable information, and noise are formalized, which provides a firm information theoretic foundation for statistical modeling.


Subject: Computer Science, Excel, Information, Minimum Description Length, Shannon, Signal, algorithm, algorithms, bioinformatics, calculus, coding, complexity statistical, image processing, machine learning, modeling, statistics