Download PDF HighDimensional Statistics A NonAsymptotic Viewpoint Cambridge Series in Statistical and Probabilistic Mathematics Martin J Wainwright 9781108498029 Books
Download As PDF : HighDimensional Statistics A NonAsymptotic Viewpoint Cambridge Series in Statistical and Probabilistic Mathematics Martin J Wainwright 9781108498029 Books
Recent years have witnessed an explosion in the volume and variety of data collected in all scientific disciplines and industrial settings. Such massive data sets present a number of challenges to researchers in statistics and machine learning. This book provides a self-contained introduction to the area of high-dimensional statistics, aimed at the first-year graduate level. It includes chapters that are focused on core methodology and theory - including tail bounds, concentration inequalities, uniform laws and empirical process, and random matrices - as well as chapters devoted to in-depth exploration of particular model classes - including sparse linear models, matrix models with rank constraints, graphical models, and various types of non-parametric models. With hundreds of worked examples and exercises, this text is intended both for courses and for self-study by graduate students and researchers in statistics, machine learning, and related fields who must understand, apply, and adapt modern statistical methods suited to large-scale data.
Download PDF HighDimensional Statistics A NonAsymptotic Viewpoint Cambridge Series in Statistical and Probabilistic Mathematics Martin J Wainwright 9781108498029 Books
"This book is very well written and covers lots of state of the art topics. It is a great book for graduate students as well as researchers in statistics, machine learning, and electrical engineering. Covers topics on the concentration of measure, entropy, graphical models, RKHS, and lots of other useful topics that can be used as a basis to do novel research. Totally recommend the book. I use this book as one of the references for statistical machine learning I teach."
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HighDimensional Statistics A NonAsymptotic Viewpoint Cambridge Series in Statistical and Probabilistic Mathematics Martin J Wainwright 9781108498029 Books Reviews :
HighDimensional Statistics A NonAsymptotic Viewpoint Cambridge Series in Statistical and Probabilistic Mathematics Martin J Wainwright 9781108498029 Books Reviews
- This book is very well written and covers lots of state of the art topics. It is a great book for graduate students as well as researchers in statistics, machine learning, and electrical engineering. Covers topics on the concentration of measure, entropy, graphical models, RKHS, and lots of other useful topics that can be used as a basis to do novel research. Totally recommend the book. I use this book as one of the references for statistical machine learning I teach.
- This is the best high dimensional statistics book I have ever encountered. A lot of bounds stuff are (supposedly) tedious but Martin has the magic of explaining them well both technically and intuitively. You rarely see "it's easy to see ..." this kind of phrase in this book; all steps are accompanied with very detailed explanations (even the steps that use very obvious inequality, i.e. Markov). And everything that's "left as exercises" are durable. A lot of books are horrible at explaining empirical process / minimax lower bounds; they either fall into the "too math" or "too hand-wavy" kind of trap. But this book is just right. It's rigorous at the best point that does not frustrate you. I strongly recommend this book for everyone interested in doing high dimensional statistics, machine learning theory, compressive sensing and many, many other fields related to high dimension model / data.
