Nonlinear prediction of functional time series

Cites Work

Functional linear regression analysis for longitudinal data
Asymptotic theory for the principal component analysis of a vector random function: Some applications to statistical inference
Sparse functional principal component analysis in a new regression framework
Functional additive regression
Curve forecasting by functional autoregression
Weakly dependent functional data
Robust forecasting of mortality and fertility rates: a functional data approach
Linear processes in function spaces. Theory and applications
Principal components for multivariate functional data
Supervised functional principal component analysis
High-dimensional functional time series forecasting: an application to age-specific mortality rates
Principal component analysis for functional data on Riemannian manifolds and spheres
On projection methods for functional time series forecasting
Time-varying functional principal components for non-stationary \(\text{EpCO}_2\) in freshwater systems
Robust functional principal component analysis based on a new regression framework
Generalized functional linear models
Functional data analysis.
Nonparametric functional data analysis. Theory and practice.
Properties of principal component methods for functional and longitudinal data analysis
Forecasting functional time series
Testing stationarity of functional time series
Interpretable functional principal component analysis
Functional Mixed Effects Models
Multivariate functional principal component analysis: A normalization approach
Principal component models for sparse functional data
Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domains
Estimation of the Mean of Functional Time Series and a Two-Sample Problem
Recovering the underlying trajectory from sparse and irregular longitudinal data
On the Prediction of Stationary Functional Time Series
Localized Functional Principal Component Analysis
Dynamic Functional Principal Components
Functional Additive Models
On Properties of Functional Principal Components Analysis
Parametric Functional Principal Component Analysis
Functional principal component analysis for longitudinal data with informative dropout