High Dimensional Statistics A Non Asymptotic Viewpoint

High dimensional probability offers insight into the behavior of random vectors random matrices random subspaces and objects used to quantify uncertainty in high dimensions.

Find helpful customer reviews and review ratings for high dimensional statistics. Non asymptotic high dimensional theory is critical for modern statistics and machine learning. This book is unique in providing a crystal clear complete and unified treatment of the area. Non asymptotic high dimensional theory is critical for modern statistics and machine learning.

Download citation high dimensional statistics. This book is unique in providing a crystal clear complete and unified treatment of the area. With topics ranging from concentration of measure to graphical models the author weaves together probability theory and its applications to statistics. With topics ranging from concentration of measure to graphical models the author weaves together probability theory and its applications to statistics.

A non asymptotic viewpoint cambridge core pattern recognition and machine learning high dimensional statistics by martin j. High dimensional statistics a non asymptotic viewpoint martin j. This book is unique in providing a crystal clear complete and unified treatment of the area. Wainwright recent years have seen an explosion in the volume and variety of data collected in scientific disciplines from astronomy to genetics and industrial settings ranging from amazon to uber.

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Read honest and unbiased product reviews from our users. This book is unique in providing a crystal clear complete and unified treatment of the area. With topics ranging from concentration of measure to graphical models the author weaves together probability theory and its applications to statistics. Non asymptotic high dimensional theory is critical for modern statistics and machine learning.