Search Results for author:
Found 3 papers, 0 papers with code
Regularized Multivariate Functional Principal Component Analysis
Multivariate Functional Principal Component Analysis (MFPCA) is a valuable tool for exploring relationships and identifying shared patterns of variation in multivariate functional data.
Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
In this paper, we propose two nonparametric methods used in the forecasting of functional time-dependent data, namely functional singular spectrum analysis recurrent forecasting and vector forecasting.
Multivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains
In this work, we develop multivariate functional singular spectrum analysis (MFSSA) over different dimensional domains which is the functional extension of multivariate singular spectrum analysis (MSSA).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
