Beyond linear dynamic functional connectivity: a vine copula change point model
Author(s): Xiong, X., Cribben, I.
Publication Date:
4/26/2021
Publication: bioRxiv
Factorized Binary Search: change point detection in the network structure of multivariate high-dimensional time series
Author(s): Ondrus, M., Old, E., Cribben, I.
Publication Date:
3/10/2021
Publication: arXiv:2103.06347
Page Numbers: 1-21
vccp: Vine copula change point detection in multivariate time series
Author(s): Xiong, X., Cribben, I.
Publication Date:
3/3/2021
Publication: R package version
Volume: 1
fabisearch: a change point detection method in the network structure of multivariate high-dimensional time series
Author(s): Ondrus, M., Cribben, I.
Publication Date:
2/24/2021
Publication: R package version
Volume: 2
Do NHL goalies get hot in the playoffs? A multilevel logistic regression analysis
Author(s): Ding, L., Cribben, I., Ingolfsson, A., Tran, M.
Publication Date:
2/19/2021
Publication: arxiv
Page Numbers: 1-19
package 'ccid'
Author(s): Anastasiou, A., Cribben, I., & Fryzlewicz, P.
Publication Date:
1/7/2021
Publication: R package version
Volume: 1
Cross-covariance isolate detect: a new change-point method for estimating dynamic functional connectivity
Author(s): Anastasiou, A., Cribben, I., & Fryzlewicz, P.
Publication Date:
12/20/2020
Publication: bioRxiv
Page Numbers: 1-52
Nonparametric Anomaly Detection on Time Series of Graphs
Author(s): Ofori-Boateng, D., Gel, Y., Cribben, I.
Publication Date:
10/14/2020
Publication: Journal of Computational and Graphical Statistics
Page Numbers: 1-12
Generalized reliability based on distances
Author(s): Xu, M., Reiss, P.T., Cribben, I.
Publication Date:
4/27/2020
Publication: Biometrics
Page Numbers: 1-13
After the Fort McMurray wildfire there are significant increases in mental health symptoms in grade 7–12 students compared to controls
Author(s): Brown, M.R.G., Agyapong, V., Greenshaw, A.J., Cribben, I.
Publication Date:
12/27/2018
Publication: BMC Psychiatry
Volume: 19
Issue: 1
Page Numbers: 1-11
Change points in heavy‐tailed multivariate time series: Methods using precision matrices
Author(s): Cribben, I.
Publication Date:
8/16/2018
Publication: Applied Stochastic Models in Business and Industry
Volume: 35
Issue: 2
Page Numbers: 299-320
A longitudinal model for functional connectivity networks using resting-state fMRI
Author(s): Hart, B., Cribben, I., Fiecas, M.
Publication Date:
5/30/2018
Publication: NeuroImage
Volume: 178
Page Numbers: 687-701
A clustering-based feature selection method for automatically generated relational attributes
Author(s): Rezaei, M., Cribben, I., Samorani, M.
Publication Date:
4/5/2018
Publication: Annals of Operations Research
Page Numbers: 1-31
Sparse graphical models for functional connectivity networks: best methods and the autocorrelation issue
Author(s): Zhu, Y., Cribben, I.
Publication Date:
4/1/2018
Publication: Brain Connectivity
Volume: 8
Issue: 3
Page Numbers: 139-165
Estimating whole‐brain dynamics by using spectral clustering
Author(s): Cribben, I., Yu, Y.
Publication Date:
2017
Publication: Journal of the Royal Statistical Society: Series C (Applied Statistics)
Volume: 66
Issue: 3
Page Numbers: 607-627
extremogram: estimating extreme value dependence
Author(s): Frolova, N, Cribben, I.
Publication Date:
2016
Detecting functional connectivity change points for single-subject fMRI data
Author(s): Cribben, I., Wager, T.D., Lindquist, M.A.
Publication Date:
2013
Publication: Frontiers in Computational Neuroscience
Volume: 7:143
Dynamic Connectivity Regression: Determining state-related changes in brain connectivity
Author(s): Cribben, I., Haraldsdottir, R., Atlas, L., Wager, T.D., Lindquist, M.A.
Publication Date:
2012
Publication: NeuroImage
Volume: 61
Page Numbers: 907 - 920
Towards Estimating Extremal Serial Dependence via the Bootstrapped Extremogram
Author(s): Davis, R.A., Mikosch, T., Cribben, I
Publication Date:
2012
Publication: Journal of Econometrics
Volume: 170
Page Numbers: 142 - 152