Add to ORKGThe 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 func-tional Nadaraya-Watson method and with \u85nite-dimensional nonparametric predictors for several real time series. Prediction intervals based on the bootstrap and conditional distribution estimation for those nonparametric methods are compared too
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
ABSTRACT The problem of prediction in time series using nonparametric functional techniques is consi...
AbstractThere is a recent interest in developing new statistical methods to predict time series by t...
The problem of predicting a future value of a time series is considered in this paper. If the series...
This article addresses the prediction of stationary functional time series. Existing contributions t...
International audienceWe consider the problem of predicting a real random variable from a functional...
We propose forecasting functional time series using weighted functional principal component regressi...
This note deals with the study of a functional linear model for time series prediction which combine...
This article addresses the prediction of stationary functional time series. Existing contributions t...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
In this dissertation, we develop nonparametric decomposition methods and the subsequent forecasting ...
Two nonparametric methods are presented for forecasting functional time series (FTS). The FTS we obs...
We apply the local linear regression technique for estimation of functional-cefficient regression mo...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
ABSTRACT The problem of prediction in time series using nonparametric functional techniques is consi...
AbstractThere is a recent interest in developing new statistical methods to predict time series by t...
The problem of predicting a future value of a time series is considered in this paper. If the series...
This article addresses the prediction of stationary functional time series. Existing contributions t...
International audienceWe consider the problem of predicting a real random variable from a functional...
We propose forecasting functional time series using weighted functional principal component regressi...
This note deals with the study of a functional linear model for time series prediction which combine...
This article addresses the prediction of stationary functional time series. Existing contributions t...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
In this dissertation, we develop nonparametric decomposition methods and the subsequent forecasting ...
Two nonparametric methods are presented for forecasting functional time series (FTS). The FTS we obs...
We apply the local linear regression technique for estimation of functional-cefficient regression mo...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...
The local linear regression technique is applied to estimation of functional-coefficient regression ...