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desertcart.in - Buy High-Dimensional Statistics book online at best prices in India on desertcart.in. Read High-Dimensional Statistics book reviews & author details and more at desertcart.in. Free delivery on qualified orders. Review: Standard reference in high-dim stats, but it's not a good textbook. Vershynin's treatment much better. Review: Naturally a heavy mathematics text will be a little dry, but nevertheless, I think it is well written and readable. I am still working my way through the book (as in pondering the exercises) but I have found it to be a valuable resource so far. If you want to learn about concentration inequalities this is a great place to start. I would also recommend reading "The Elements of Statistical Learning" by Tibsharini, Hastie, and Friedman as well as "Computer Age Statistical Inference" by Bradley Efron.
| Best Sellers Rank | #468,689 in Books ( See Top 100 in Books ) #407 in Econometrics & Statistics #792 in Statistics #855 in Biology Textbooks |
| Country of Origin | India |
| Customer Reviews | 4.8 4.8 out of 5 stars (66) |
| Dimensions | 18.42 x 3.81 x 26.04 cm |
| Generic Name | 1 |
| ISBN-10 | 1108498027 |
| ISBN-13 | 978-1108498029 |
| Item Weight | 1 kg 200 g |
| Language | English |
| Packer | Cambridge University Press |
| Part of series | Cambridge Series in Statistical and Probabilistic Mathematics |
| Print length | 568 pages |
| Publication date | 1 January 2019 |
| Publisher | Cambridge University Press (South Africa) |
| Reading age | 5 years and up |
M**W
Standard reference in high-dim stats, but it's not a good textbook. Vershynin's treatment much better.
L**A
Naturally a heavy mathematics text will be a little dry, but nevertheless, I think it is well written and readable. I am still working my way through the book (as in pondering the exercises) but I have found it to be a valuable resource so far. If you want to learn about concentration inequalities this is a great place to start. I would also recommend reading "The Elements of Statistical Learning" by Tibsharini, Hastie, and Friedman as well as "Computer Age Statistical Inference" by Bradley Efron.
B**B
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.
A**N
For econometricians who want to explore high-dimensional methods, this book is a great reference.
M**T
The binding condition of the book I got is bad, which is very disappointing because it doesn't look like a new book.
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