Introduction to Nonparametric Estimation 2024 pdf epub mobi 电子书

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发表于2024-06-01

Introduction to Nonparametric Estimation 2024 pdf epub mobi 电子书

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出版者:Springer

作者:Alexandre B. Tsybakov

出品人:

页数:214

译者:

出版时间:2008-12-12

价格:USD 129.00

装帧:Hardcover

isbn号码:9780387790510

丛书系列:Springer Series in Statistics

图书标签: Statistics 统计学机器学习数学非参数统计 nonparametric 统计 Nonparametric

Introduction to Nonparametric Estimation 2024 pdf epub mobi 电子书图书描述

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 2024 pdf epub mobi 电子书

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