2 citations · 5 across the 7 of their papers we have counts for
5 papers · 1 filter
Regularized Multivariate Functional Principal Component Analysis
Hossein Haghbin, Yue Zhao, Mehdi Maadooliat
Multivariate Functional Principal Component Analysis (MFPCA) is a valuable tool for exploring relationships and identifying shared patterns of variation in multivariate functional…
Collective Spectral Density Estimation and Clustering for Spatially-Correlated Data
Tianbo Chen, Ying Sun, Mehdi Maadooliat
In this paper, we develop a method for estimating and clustering two-dimensional spectral density functions (2D-SDFs) for spatial data from multiple subregions. We use a common set…
Multivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains
Jordan Trinka, Hossein Haghbin, Mehdi Maadooliat
In this work, we develop multivariate functional singular spectrum analysis (MFSSA) over different dimensional domains which is the functional extension of multivariate singular sp…
Functional Singular Spectrum Analysis
Hossein Haghbin, Seyed Morteza Najibi, Rahim Mahmoudvand +2
In this paper, we introduce a new extension of the Singular Spectrum Analysis (SSA) called functional SSA to analyze functional time series. The new methodology is developed by int…
Nonparametric collective spectral density estimation with an application to clustering the brain signals
Mehdi Maadooliat, Ying Sun, Tianbo Chen
In this paper, we develop a method for the simultaneous estimation of spectral density functions (SDFs) for a collection of stationary time series that share some common features.…