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Psychological Methods|June 5, 2025
Improved estimation of autoregressive models through contextual impulses and robust modelingJanne K Adolf, Eva Ceulemans
Journal of Psychosomatic Research|August 3, 2020
Time series analysis of intensive longitudinal data in psychosomatic research: A methodological overviewSigert Ariens, Eva Ceulemans, Janne K Adolf
Multivariate Behavioral Research|August 2, 2022
Collinearity Issues in Autoregressive Models with Time-Varying Serially Dependent CovariatesSigert Ariens, Janne K Adolf, Eva Ceulemans
Psychological Methods|June 24, 2021
Optimal sampling rates for reliable continuous-time first-order autoregressive and vector autoregressive modelingJanne K Adolf, Tim Loossens, Francis Tuerlinckx, et al.
Multivariate Behavioral Research|May 24, 2017
Capturing Context-Related Change in Emotional Dynamics via Fixed Moderated Time Series AnalysisJanne K Adolf, Manuel C Voelkle, Annette Brose, et al.
Acta Psychologica|January 2, 2010
Detecting intra- and inter-categorical structure in semantic concepts using HICLASEva Ceulemans, Gert Storms
Journal of Child and Family Studies|January 26, 2019
Parenting Styles: A Closer Look at a Well-Known ConceptSofie Kuppens, Eva Ceulemans
Behavior Research Methods|April 6, 2022
ConNEcT: An R package to build contingency measure-based networks on binary time seriesNadja Bodner, Eva Ceulemans
The British Journal of Mathematical and Statistical Psychology|May 20, 2006
Selecting among three-mode principal component models of different types and complexities: a numerical convex hull based methodEva Ceulemans, Henk A L Kiers
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