Path and directionality discovery in individual dynamic models: a regularized unified structural equation modeling approach for hybrid vector autoregression
type: Item
instance of: scholarly article
title: Path and directionality discovery in individual dynamic models: a regularized unified structural equation modeling approach for hybrid vector autoregression
zbMATH Open document ID: 1477.62360
author: Ai Ye
author: Teague Rhine Henry
author: Lan Luo
author: Katheleen M. Gates
published in: Psychometrika
publication date: 2022-01-14T00:00:00Z
full work available at URL: uh8ft
Mathematics Subject Classification ID: 62P15
Mathematics Subject Classification ID: 62M10
Mathematics Subject Classification ID: 62J07
zbMATH DE Number: 7457507
zbMATH Keywords: time series data
zbMATH Keywords: structural VAR
zbMATH Keywords: hybrid VAR
zbMATH Keywords: contemporaneous relations
zbMATH Keywords: unified SEM
zbMATH Keywords: graphical VAR
zbMATH Keywords: regularized SEM
describes a project that uses: glasso
describes a project that uses: LISREL
describes a project that uses: lavaan
describes a project that uses: lslx
describes a project that uses: regsem
describes a project that uses: graphicalVAR
describes a project that uses: gimme
describes a project that uses: R
describes a project that uses: astsa
describes a project that uses: psychonetrics
describes a project that uses: GitHub
MaRDI profile type: Publication
OpenAlex ID: W3155807928
cites work: Psychometric network models from time-series and panel data
cites work: Sparse inverse covariance estimation with the graphical lasso
cites work: Measurement of Linear Dependence and Feedback Between Multiple Time Series
cites work: Investigating Causal Relations by Econometric Models and Cross-spectral Methods
cites work: Q4840212
cites work: Q5251797
cites work: Ridge Regression: Biased Estimation for Nonorthogonal Problems
cites work: Q3543468
cites work: A penalized likelihood method for structural equation modeling
cites work: Q4382293
cites work: Q5312885
cites work: Time Series Analysis and Its Applications
cites work: Q4864293
cites work: The Adaptive Lasso and Its Oracle Properties
DOI: 10.1007/S11336-021-09753-6
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description: scientific article; zbMATH DE number 7457507