文档介绍：Information Science and Statistics
Series Editors
M. Jordan, J. Kleinberg, B. Scho¨lkopf
. Wallace
Statistical and Inductive
Inference by Minimum
Message Length
With 22 Figures
. Wallace
(deceased)
Series Editors
Michael Jordan Professor Jon Kleinberg
Department puter Science Department puter Science
University of California, Berkeley Cornell University
Berkeley, CA 94720 Ithaca, NY 14853
USA USA
******@
Professor Bernhard Scho¨lkopf
Max Planck Institute for Biological
ics
Spemannstrasse 38
72076 Tu¨bingen
Germany
Library of Congress Cataloging-in-Publication Data
Wallace, C. S. (Christopher S.), d. 2004.
Statistical and inductive inference by minimum message length / . Wallace.
p. cm. —(Information science and statistics)
Includes bibliographical references and index.
ISBN 0-387-23795-X (alk. paper)
1. Minimum message length (Information theory) 2. Mathematical
statistics—Methodology. 3. Induction (Mathematics) I. Title. II. Series.
2005
—dc22 2004059195
ISBN-10: 0-387-23795-X Printed on acid-free paper.
ISBN-13: 978-0387-23795-4
© 2005 Springer Science+Business Media, Inc.
All rights reserved. This work may not be translated or copied in whole or in part without the written
permission of the publisher (Springer Science+Business Media, Inc., 233 Spring Street, New York,
NY 10013, USA), except for brief excerpts in connection with reviews or scholarly analysis. Use in
connection with any form of information storage and retrieval, electronic adaptation, computer soft-
ware, or by similar or dissimilar methodology now known or hereafter developed is forbidden.
The use in this publication of trade names, trademarks, service marks, and similar terms, even if they
are not identified as such, is not to be taken as an expression of opinion as to whether or not they are
subject to proprietary rights.
Printed in the United States of America. (EB)
987654321
Preface
My thanks a