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20182020
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.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

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…

stat.ME20201 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…

stat.CO2018

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…