2 citations · 5 across the 7 of their papers we have counts for
9 papers
A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization
Yue Zhao, Hossein Haghbin, Rebecca Sanders +1
This paper introduces a novel framework for Regularized Multivariate Functional Principal Component Analysis (ReMFPCA) via Functional Singular Value Decomposition (SVD). The propos…
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…
Functional Time Series Forecasting: Functional Singular Spectrum Analysis Approaches
Jordan Trinka, Hossein Haghbin, Mehdi Maadooliat
In this paper, we propose two nonparametric methods used in the forecasting of functional time-dependent data, namely functional singular spectrum analysis recurrent forecasting an…
Torus Probabilistic Principal Component Analysis
Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat +1
Analyzing data in non-Euclidean spaces, such as bioinformatics, biology, and geology, where variables represent directions or angles, poses unique challenges. This type of data is…
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…
Estimation of Multivariate Wrapped Models for Data in Torus
Anahita Nodehi, Mousa Golalizadeh, Mehdi Maadooliat +1
Multivariate circular observations, i.e. points on a torus are nowadays very common. Multivariate wrapped models are often appropriate to describe data points scattered on p-dimens…
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.…