< Back to previous page
Researcher
Jed Cabrieto
- 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
- Quantitative Psychology and Individual Differences (Research group)
Member
From1 Oct 2015 → 31 Mar 2019 - Methodology of Educational Sciences (Research group)
Member
From1 Oct 2014 → 30 Sep 2015
Projects
1 - 2 of 2
- Improving Kernel Change Point detection by pooling information across subjects and variablesFrom1 Oct 2018 → 30 Sep 2019Funding: BOF - postdoctoral mandates
- 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
Publications
1 - 7 of 7
- An objective, comprehensive and flexible statistical framework for detecting early warning signs of mental health problems.(2019)
Authors: Jed Cabrieto, Janne Adolf, Francis Tuerlinckx, Peter Kuppens, Eva Ceulemans
Pages: 184 - 186 - Detecting long-lived autodependency changes in a multivariate system via change point detection and regime switching models.(2018)
Authors: Jed Cabrieto, Janne Adolf, Francis Tuerlinckx, Peter Kuppens, Eva Ceulemans
Pages: 1 - 15 - Signaling a diverse range of changes in multivariate time series: A flexible kernel-based change point detection approach(2018)
Authors: Jed Cabrieto, Eva Ceulemans, Francis Tuerlinckx, Peter Kuppens
- Capturing correlation changes by applying kernel change point detection on the running correlations(2018)
Authors: Jed Cabrieto, Francis Tuerlinckx, Peter Kuppens, Eva Ceulemans
Pages: 117 - 139 - Testing for the presence of correlation changes in a multivariate time series: A permutation based approach(2018)
Authors: Jed Cabrieto, Francis Tuerlinckx, Peter Kuppens, Borbála Hunyadi, Eva Ceulemans
Pages: 1 - 20 - Capturing correlation changes by applying kernel change point detection on the running correlations(2018)
Authors: Jed Cabrieto, Francis Tuerlinckx, Peter Kuppens, F Wilhelm, M Liedlgruber, Eva Ceulemans
Pages: 117 - 139 - Detecting correlation changes in multivariate time series: A comparison of four non-parametric change point detection methods(2017)
Authors: Jed Cabrieto, Francis Tuerlinckx, Peter Kuppens, Eva Ceulemans
Pages: 988 - 1005