专栏名称: 机器学习研究会

机器学习研究会是北京大学大数据与机器学习创新中心旗下的学生组织，旨在构建一个机器学习从事者交流的平台。除了及时分享领域资讯外，协会还会举办各种业界巨头/学术神牛讲座、学术大牛沙龙分享会、real data 创新竞赛等活动。

【推荐】加大伯克利的迈克尔·约旦教授推荐的17本基本机器学习书籍

机器学习研究会 · 公众号 · AI · 2017-04-07 18:50

正文

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摘要

转自：网路冷眼

Statistical Inference by George Casella

About the book: Discusses both theoretical statistics and the practical applications of the theoretical developments. Includes a large numer of exercises covering both theory and applications.

A Course in Large Sample Theory by Thomas S. Ferguson

About the book: A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard statistical topics. Nearly all topics are covered in their multivariate setting.The book is intended as a first year graduate course in large sample theory for statisticians. It has been used by graduate students in statistics, biostatistics, mathematics, and related fields. Throughout the book there are many examples and exercises with solutions. It is an ideal text for self study.