Statistics for High-Dimensional Data: Methods, Theory and Applications 豆 0.0分

资源最后更新于 2020-09-05 22:00:20

作者：Peter Bühlmann

出版社：Springer

出版日期：2011-01

ISBN：9783642201912

文件格式： pdf

标签： 机器学习 统计 Statistics 数学 统计学 high-dimension 统计理论 statistics

简介· · · · · ·

Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and procedures controlling false positive selections. A special characte...