activity
20192026
most citedMultivariate Functional Singular Spectrum Analysis Over Different Dimensional Domains

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ML2026

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…

stat.ME2023

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…

stat.ML2020

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…

stat.ME2020★ 1 cited

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…

stat.ME2019

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…