Nonparametric Statistics for Stochastic Processes: Estimation and Prediction / Edition 2

Nonparametric Statistics for Stochastic Processes: Estimation and Prediction / Edition 2

by D. Bosq
     
 

ISBN-10: 0387985905

ISBN-13: 9780387985909

Pub. Date: 08/13/1998

Publisher: Springer New York

This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are studied in Chapter 2 and 3. The special rates of convergence which appear in continuous time are presented in

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Overview

This book is devoted to the theory and applications of nonparametic functional estimation and prediction. Chapter 1 provides an overview of inequalities and limit theorems for strong mixing processes. Density and regression estimation in discrete time are studied in Chapter 2 and 3. The special rates of convergence which appear in continuous time are presented in Chapters 4 and 5. This second edition is extensively revised and it contains two new chapters. Chapter 6 discusses the surprising local time density estimator. Chapter 7 gives a detailed account of implementation of nonparametric method and practical examples in economics, finance and physics. Comarison with ARMA and ARCH methods shows the efficiency of nonparametric forecasting. The prerequisite is a knowledge of classical probability theory and statistics. Denis Bosq is Professor of Statistics at the Unviersity of Paris 6 (Pierre et Marie Curie). He is Editor-in-Chief of "Statistical Inference for Shastic Processes" and an editor of "Journal of Nonparametric Statistics". He is an elected member of the International Statistical Institute. He has published about 90 papers or works in nonparametric statistics and four books.

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Product Details

ISBN-13:
9780387985909
Publisher:
Springer New York
Publication date:
08/13/1998
Series:
Lecture Notes in Statistics Series, #110
Edition description:
Softcover reprint of the original 2nd ed. 1998
Pages:
232
Product dimensions:
0.49(w) x 6.14(h) x 9.21(d)

Related Subjects

Table of Contents

Synopsis.- 1. Inequalities for mixing processes.- 2. Density estimation for discrete time processes.- 3. Regression estimation and prediction for discrete time processes.- 4. Kernel density estimation for continuous time processes.- 5. Regression estimation and prediction in continuous time.- 6. The local time density estimator.- 7. Implementation of nonparametric method and numerical applications.- References.

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