Probability for Statistics and Machine Learning

DasGupta Anirban

ISBN 10: 1441996338 / ISBN 13: 9781441996336

Edité par Springer, 2011

A propos de cet article

pp. 804 48 Illus.

N° de réf. du vendeur 5873635

Détails bibliographiques

• Titre: Probability for Statistics and Machine Learning
• Éditeur: Springer
• Date de parution: 2011
• Langue: anglais
• ISBN à 10 chiffres: 1441996338
• ISBN à 13 chiffres: 9781441996336
• Reliure: Couverture rigide
• État de l'article: New

A propos de ce titre

Synopsis

This accessible book provides a versatile treatment of classic as well as modern probability theory, while integrating them with core topics in statistical theory and also some key tools in machine learning. It contains many worked out examples and exercises.

À propos de l?auteur

Anirban DasGupta has been professor of statistics at Purdue University since 1994. He is the author of Springer's Asymptotic Theory of Probability and Statistics, and Fundamentals of Probability, A First Course. He is an associate editor of the Annals of Statistics and has also served on the editorial boards of JASA, Journal of Statistical Planning and Inference, International Statistical Review, Statistics Surveys, Sankhya, and Metrika. He has edited four research monographs, and has recently edited the selected works of Debabrata Basu. He was elected a Fellow of the IMS in 1993, is a former member of the IMS Council, and has authored a total of 105 monographs and research articles.