Eva Ceulemans
researcher
Facts
9 properties- Instance of
- human
- Occupation
- psychologist
- Educated at
- Katholieke Universiteit Leuven (?–2003)[2]
- Doctoral advisor
- Iven van Mechelen[3]
- Imported from
- wholeness_audit_2026-05-02
- Maintained by WikiProject
- WikiProject Mathematics[7]
🏷️ Also known as
en Eva Ceulemans
🔖 Identifiers · 9
- ORCID iD
- 0000-0002-7611-4683
- OpenAlex ID
- A5062580529, A5126275032, A5130884430, A5132938013as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- DBLP author ID
- 70/3324
- Google Scholar author ID
- rEcRA_kAAAAJ
- LinkedIn personal profile ID
- eva-ceulemans-b1a180b0
- Loop ID
- 101503
- MR Author ID
- 717570
- Scopus author ID
- 6602077299
- ZbMATH author ID
- ceulemans.eva
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 22
Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations,
Actual and Perceived Emotional Similarity in Couples’ Daily Lives,
A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models,
Assessing Temporal Emotion Dynamics Using Networks,
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models,
<b>PCovR</b>: An<i>R</i>Package for Principal Covariates Regression,
Capturing correlation changes by applying kernel change point detection on the running correlations,
Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics
+14 more
← Authored by 22
Accounting for auto‐dependency in binary dyadic time series data: A comparison of model‐ and permutation‐based approaches for testing pairwise associations,
Actual and Perceived Emotional Similarity in Couples’ Daily Lives,
A Partial Correlation Screening Approach for Controlling the False Positive Rate in Sparse Gaussian Graphical Models,
Assessing Temporal Emotion Dynamics Using Networks,
A Systematic Study into the Factors that Affect the Predictive Accuracy of Multilevel VAR(1) Models,
<b>PCovR</b>: An<i>R</i>Package for Principal Covariates Regression,
Capturing correlation changes by applying kernel change point detection on the running correlations,
Clustering Vector Autoregressive Models: Capturing Qualitative Differences in Within-Person Dynamics
+14 more
Affiliated with 2
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