< Back to previous page
Researcher
Eva Ceulemans
- Disciplines:Applied mathematics in specific fields, Statistics and numerical methods, Applied psychology, Biological and physiological psychology, General psychology, Other psychology and cognitive sciences, Psychological methods
Affiliations
- Methodology of Educational Sciences (Research group)
Member
From1 Oct 2007 → 30 Sep 2015 - Quantitative Psychology and Individual Differences (Research group)
Member
From2 Apr 2001 → Today
Projects
31 - 40 of 46
- DCovR: A modeling framework for capturing the concurrent and delayed effects of human interactionFrom1 Oct 2017 → 30 Sep 2018Funding: BOF - Other initiatives
- Unraveling behavioral sequences in micro-coded parent-child interactions: A dynamic network approach to binary time series dataFrom1 Oct 2016 → 7 Oct 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Dimension reduction challenges in multi-block data analysis: Handling outlying variables and performing regression in reduced spaceFrom1 Oct 2016 → 16 Sep 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Studying dyadic interaction patterns: A Boolean network approachFrom1 Jan 2016 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- Exploring dynamics and mechanisms of attachment variability in middle childhoodFrom1 Oct 2015 → 4 Sep 2019Funding: Own budget, for example: patrimony, inscription fees, gifts
- Signaling a diverse range of changes in multivariate time series: A flexible kernel-based change point detection approachFrom1 Oct 2014 → 21 Sep 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- Understanding Dynamic Interpersonal Emotional Processes in Romantic RelationshipsFrom1 Oct 2014 → 19 Sep 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- Switching component models for capturing emotional response patterning and synchronization processes.From1 Jan 2014 → 31 Dec 2017Funding: FWO research project (including WEAVE projects)
- Dynamic network models for dyadic dataFrom1 Oct 2013 → 26 Sep 2018Funding: FWO fellowships
- Mixture simultaneous factor analysis for modeling multivariate multilevel data.From1 Oct 2013 → 29 Aug 2016Funding: FWO fellowships
Publications
1 - 10 of 211
- Attachment and perceptual accuracy of hard and flat partner emotions in everyday life(2024)
Authors: Martine Verhees, Eva Ceulemans, Laura Sels, Peter Kuppens
- Real-time detection of mean and variance changes in experience sampling data: A comparison of existing and novel statistical process control approaches.(2024)
Authors: Evelien Schat, Francis Tuerlinckx, Bart De Ketelaere, Eva Ceulemans
Pages: 1 - 17 - A critical assessment of sparse PCA (research): Why (one should acknowledge that) weights are not loadings(2024)
Authors: Eva Ceulemans
Pages: 1 - 20 - Individual-specific change points in circadian rest-activity rhythm and sleep in individuals tapering their antidepressant medication: An actigraphy study(2024)
Authors: Evelien Schat, Eva Ceulemans
Pages: 1 - 11 - Detecting mean changes in experience sampling data in real-time: A comparison of univariate and multivariate statistical process control methods(2023)
Authors: Evelien Schat, Francis Tuerlinckx, Bart De Ketelaere, Eva Ceulemans
Pages: 1335 - 1357 - Evaluating dynamics in affect structure with latent Markov factor analysis(2023)
Authors: Leonie Cloos, Peter Kuppens, Eva Ceulemans
Pages: 1 - 13 - Regression approaches for modeling affect dynamics: Leveraging on context and serial dependence(2023)
Authors: Sigert Ariens, Eva Ceulemans, Peter Kuppens, Janne Adolf
- Signaling changes in experience sampling data in real-time: Development and evaluation of statistical process control methods for detecting early warning signals of depression(2023)
Authors: Evelien Schat, Eva Ceulemans, Francis Tuerlinckx, Bart De Ketelaere
- Distinguishing dimensions of emotion dynamics across 12 emotions in adolescents' daily lives(2023)
Authors: Eva Ceulemans, Peter Kuppens
Pages: 1549 - 1561 - The exponentially weighted moving average procedure for detecting changes in intensive longitudinal data in psychological research in real-time: A tutorial showcasing potential applications.(2023)
Authors: Evelien Schat, Eva Ceulemans
Pages: 1 - 15