Information and Complexity in Statistical Modeling - Couverture rigide

Rissanen, Jorma

Couverture rigide

ISBN 10 : 0387366105 ISBN 13 : 9780387366104

Editeur : Springer-Verlag New York Inc., 2007

Synopsis

This volume presents a different, yet logically unassailable, view of statistical modeling. It details a method of 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. The view of the modeling problem presented in this book permits a unified treatment of any type of parameters, their number, and even their structure. Since only optimally distinguished models are worthy of testing, a logically sound and straightforward treatment of hypothesis testing is found in which the confidence in the test result can be assessed. The techniques presented in this book have application in all fields of modern engineering, including signal and image processing, bioinformatics, pattern recognition, and machine learning.

Détails de l'édition

• Éditeur: Springer-Verlag New York Inc.
• Date d'édition: 2007
• Langue: anglais
• ISBN 10: 0387366105
• ISBN 13: 9780387366104
• Reliure: Relié
• Nombre de pages: 142
• Coordonnées du fabricant: non disponible
• Personne responsable: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Allemagne