Functional Methods for Time Series Prediction: A Nonparametric Approach

被引：27

作者：

Aneiros-Perez, German ^{[1
]}

Cao, Ricardo ^{[1
]}

Vilar-Fernandez, Juan M. ^{[1
]}

机构：

[1] Univ A Coruna, Dept Matemat, Fac Informnt, La Coruna 15071, Spain

来源：

JOURNAL OF FORECASTING | 2011年 / 30卷 / 04期

关键词：

time series forecasting; functional data; nonparametric regression; bootstrap; REGRESSION ESTIMATION; IDENTIFICATION;

D O I：

10.1002/for.1169

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

The problem of prediction in time series using nonparametric functional techniques is considered. An extension of the local linear method to regression with functional explanatory variable is proposed. This forecasting method is compared with the functional Nadaraya Watson method and with finite-dimensional nonparametric predictors for several real-time series. Prediction intervals based on the bootstrap and conditional distribution estimation for those nonparametric methods are also compared. Copyright (C) 2010 John Wiley & Sons, Ltd.

引用

页码：377 / 392

页数：16

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