Nonparametric Functional Time Series Prediction
Efstathios Paparoditis · Contributions to statistics · 2011
We consider the problem of predicting a time series on a whole interval in terms of its own past. An approach based on a wavelet decomposition and an appropriate distance measure between time series curves is introduced. Applications of this approach to nonparametric conditionalmean estimation, clustering and bootstrap of time series curves are discussed.