文档介绍：Information Science and Statistics
Series Editors:
M. Jordan
J. Kleinberg
B. Scholkopf
Information Science and Statistics
Akaike and Kitagawa: The Practice of Time Series Analysis.
Bishop: Pattern Recognition and Machine Learning.
Cowell, Dawid, Lauritzen, and Spiegelhalter: works and Expert
Systems.
Doucet, de Freitas, and Gordon: Sequential Monte Carlo Methods in Practice.
Fine: Feedforward work Methodology.
Hawkins and Olwell: Cumulative Sum Charts and Charting for Quality
Improvement.
Jensen and Nielsen: works and Decision Graphs, Second Edition.
Lee and Verleysen: Nonlinear Dimensionality Reduction.
Marchette: Computer Intrusion Detection work Monitoring: A Statistical
Viewpoint.
Rissanen: Information plexity in Statistical Modeling.
Rubinstein and Kroese: The Cross-Entropy Method: A Unified Approach to
Combinatorial Optimization, Monte Carlo Simulation, and Machine Learning.
Studeny: Probabilistic Conditional Independence Structures.
Vapnik: The Nature of Statistical Learning Theory, Second Edition.
Wallace: Statistical and Inductive Inference by Minimum Massage Length.
Jorma Rissanen
Information plexity
in Statistical Modeling
^ Sprringei r
Jorma Rissanen
Helsinki Institute for Information
Technology
Helsinki, Finland
jrissanen@
Series Editors: Jon Kleinberg Bernhard Scholkopf
Michael Jordan Department puter Max Planck Institute for
Division puter Science Biological ics
Science and Cornell University Spemannstrasse 38
Department of Ithaca, NY 14853 72076 Tubingen
Statistics USA Germany
University of Cahfornia,
Berkeley
Berkeley, CA 94720
USA
Library of Congress Control Number: 2006929593
ISBN-10: 0-387-36610-5 eISBN-10: 0-387-68812-0
ISBN-13: 978-0-387-36610-4 eISBN-13: 978-0-387-68812-1
Printed on acid-free paper.
© 2007 Springer Science+Business Media, LLC
All rights reserved. This work may not be translated or copied in whole or in part witho