Introduction to Nonparametric Estimation (Springer Series in by Alexandre B. Tsybakov PDF

By Alexandre B. Tsybakov

it is a concise textual content constructed from lecture notes and able to be used for a direction at the graduate point. the most concept is to introduce the elemental strategies of the speculation whereas holding the exposition appropriate for a primary technique within the box. as a result, the implications are usually not constantly given within the so much basic shape yet particularly below assumptions that result in shorter or extra stylish proofs.
The publication has 3 chapters. bankruptcy 1 offers easy nonparametric regression and density estimators and analyzes their homes. bankruptcy 2 is dedicated to a close therapy of minimax reduce bounds. bankruptcy three develops extra complicated subject matters: Pinsker’s theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity.
This ebook can be important for researchers and grad scholars drawn to theoretical features of smoothing innovations. Many vital and helpful effects on optimum and adaptive estimation are supplied. As one of many prime mathematical statisticians operating in nonparametrics, the writer is an expert at the subject.

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Extra resources for Introduction to Nonparametric Estimation (Springer Series in Statistics)

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