High Dimensional Statistics A Non Asymptotic Viewpoint

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Non asymptotic high dimensional theory is critical for modern statistics and machine learning. Non asymptotic high dimensional theory is critical for modern statistics and machine learning. With topics ranging from concentration of measure to graphical models the author weaves together probability theory and its applications to statistics. 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. 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. 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.

This book is unique in providing a crystal clear complete and unified treatment of the area. Find helpful customer reviews and review ratings for high dimensional statistics. This book is unique in providing a crystal clear complete and unified treatment of the area. High dimensional statistics a non asymptotic viewpoint martin j.

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Drawing on ideas from probability. This book is unique in providing a crystal clear complete and unified treatment of the area. Read honest and unbiased product reviews from our users. High dimensional probability offers insight into the behavior of random vectors random matrices random subspaces and objects used to quantify uncertainty in high dimensions.