An idiographic approach to estimating models of dyadic interactions with differential equations

DOI10.1007/s11336-013-9366-9zbMath1303.62109OpenAlexW2063889732WikidataQ46130303 ScholiaQ46130303MaRDI QIDQ487606

Emilio Ferrer, John R. Nesselroade, Joel S. Steele

Publication date: 22 January 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-013-9366-9

zbMATH Keywords

differential equationsmodel averagingdyadic interactionsdyadographic analysisidiographic

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Applications of statistics to psychology (62P15)

Related Items (1)

A one‐step method for modelling longitudinal data with differential equations

Uses Software

• R
• SAS

Cites Work

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• A hierarchical Ornstein-Uhlenbeck model for continuous repeated measurement data
• Using threshold autoregressive models to study dyadic interactions
• Factor analysis and AIC
• Bayesian model averaging: A tutorial. (with comments and a rejoinder).
• Analyzing reciprocal relationships by means of the continuous‐time autoregressive latent trajectory model
• A dynamic systems model of dyadic interaction
• Model Selection: An Integral Part of Inference
• Model Selection and Multimodel Inference
• Admissibility of the Likelihood Ratio Test when the Parameter Space is Restricted under the Alternative
• On Information and Sufficiency
• A new look at the statistical model identification

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