All of Statistics: A Concise Course in Statistical Inference (Springer Texts in Statistics)

Wasserman, Larry

ISBN 10: 0387402721 / ISBN 13: 9780387402727

Edité par Springer, 2003

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Synopsis :

This book surveys a broad range of topics in probability and mathematical statistics. It provides the statistical background that a computer scientist needs to work in the area of machine learning.

À propos de l'auteur: Larry Wasserman is Professor of Statistics at Carnegie Mellon University. He is also a member of the Center for Automated Learning and Discovery in the School of Computer Science. His research areas include nonparametric inference, asymptotic theory, causality, and applications to astrophysics, bioinformatics, and genetics. He is the 1999 winner of the Committee of Presidents of Statistical Societies Presidents' Award and the 2002 winner of the Centre de recherches mathematiques de Montreal-Statistical Society of Canada Prize in Statistics. He is Associate Editor of The Journal of the American Statistical Association and The Annals of Statistics. He is a fellow of the American Statistical Association and of the Institute of Mathematical Statistics.

Détails bibliographiques

Titre : All of Statistics: A Concise Course in ...
Éditeur : Springer
Date d'édition : 2003
Reliure : hardcover
Etat : Good
Edition : First Edition.