All of Statistics: A Concise Course in Statistical Inference - Couverture rigide

Livre 70 sur 103: Springer Texts in Statistics

Wasserman, Larry

 
9780387402727: All of Statistics: A Concise Course in Statistical Inference

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.

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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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Autres éditions populaires du même titre

9781441923226: All of Statistics: A Concise Course in Statistical Inference

Edition présentée

ISBN 10 :  1441923225 ISBN 13 :  9781441923226
Editeur : Springer, 2010
Couverture souple