This is manual solutions to exercises in High-dimensional statistics : a non-asymptotic viewpoint written by Wainwright, Martin.
There might be some mistakes, so if you find any, I&#39;d be happy to let me know.

This is manual solutions to exercises in High-dimensional statistics : a non-asymptotic viewpoint written by Wainwright, Martin.
There might be some mistakes, so if you find any, I'd be happy to let me know.

High-dimensional statistics | Manual Solutions

Exercise 2.1 (Tightness of inequalities)

Exercise 2.2 (Mills ratio)

Exercise 2.3 (Polynomial Markov versus Chernoff)

Exercise 2.4 Sharp sub-Gaussian parameter for bounded r.v.

Chapter 12 | Reproducing Kernel Hilbert Spaces

Chapter 13 Nonparametric least squares

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