Introduction to Nonparametric Estimation pdf epub mobi txt 電子書下載 2024

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Alexandre B. Tsybakov

Springer

2008-12-12

214

USD 129.00

Hardcover

Springer Series in Statistics

9780387790510

圖書標籤: Statistics 統計學機器學習數學非參數統計 nonparametric 統計 Nonparametric

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发表于2024-12-25

Introduction to Nonparametric Estimation epub 下載 mobi 下載 pdf 下載 txt 電子書下載 2024

Introduction to Nonparametric Estimation pdf epub mobi txt 電子書下載 2024

圖書描述

This is a concise text developed from lecture notes and ready to be used for a course on the graduate level. The main idea is to introduce the fundamental concepts of the theory while maintaining the exposition suitable for a first approach in the field. Therefore, the results are not always given in the most general form but rather under assumptions that lead to shorter or more elegant proofs. The book has three chapters. Chapter 1 presents basic nonparametric regression and density estimators and analyzes their properties. Chapter 2 is devoted to a detailed treatment of minimax lower bounds. Chapter 3 develops more advanced topics: Pinsker's theorem, oracle inequalities, Stein shrinkage, and sharp minimax adaptivity. This book will be useful for researchers and grad students interested in theoretical aspects of smoothing techniques. Many important and useful results on optimal and adaptive estimation are provided. As one of the leading mathematical statisticians working in nonparametrics, the author is an authority on the subject.

Introduction to Nonparametric Estimation 下載 mobi epub pdf txt 電子書