Ivor Cribben

According to our database, Ivor Cribben authored at least 13 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

fabisearch: A package for change point detection in and visualization of the network structure of multivariate high-dimensional time series in R.

Martin Ondrus, Ivor Cribben

Neurocomputing, 2024

Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors.

Dorcas Ofori-Boateng, Jaidev Goel, Ivor Cribben, Yulia R. Gel

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A direct method for the estimation of the sparse and latent variable components of a Gaussian graphical model.

Martin Ondrus, Ivor Cribben

Proceedings of the 10th International Conference on Control, 2024

2023

Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model.

Xin Xiong, Ivor Cribben

J. Comput. Graph. Stat., 2023

2022

Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity.

Andreas Anastasiou, Ivor Cribben, Piotr Fryzlewicz

Medical Image Anal., 2022

2021

Nonparametric Anomaly Detection on Time Series of Graphs.

Dorcas Ofori-Boateng, Yulia R. Gel, Ivor Cribben

J. Comput. Graph. Stat., 2021

A clustering-based feature selection method for automatically generated relational attributes.

Mostafa Rezaei, Ivor Cribben, Michele Samorani

Ann. Oper. Res., 2021

2020

Diffusion tensor imaging of the corpus callosum in healthy aging: Investigating higher order polynomial regression modelling.

Wojciech Pietrasik, Ivor Cribben, Fraser Olsen, Yushan Huang, Nikolai V. Malykhin

NeuroImage, 2020

2018

A longitudinal model for functional connectivity networks using resting-state fMRI.

Brian Hart, Ivor Cribben, Mark Fiecas, Alzheimer's Disease Neuroimaging Initiative

NeuroImage, 2018

Sparse Graphical Models for Functional Connectivity Networks: Best Methods and the Autocorrelation Issue.

Yunan Zhu, Ivor Cribben

Brain Connect., 2018

2017

A variance components model for statistical inference on functional connectivity networks.

Mark Fiecas, Ivor Cribben, Reyhaneh Bakhtiari, Jacqueline Cummine

NeuroImage, 2017

2013

Detecting functional connectivity change points for single-subject fMRI data.

Ivor Cribben, Tor D. Wager, Martin A. Lindquist

Frontiers Comput. Neurosci., 2013

2012

Dynamic connectivity regression: Determining state-related changes in brain connectivity.

Ivor Cribben, Ragnheidur Haraldsdottir, Lauren Y. Atlas, Tor D. Wager, Martin A. Lindquist

NeuroImage, 2012