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)

Detecting functional connectivity change points for single-subject fMRI data. - Ivor Cribben; Tor D. Wager; Martin A. Lindquist (Frontiers Comput. Neurosci., 2013)

A variance components model for statistical inference on functional connectivity networks. - Mark Fiecas; Ivor Cribben; Reyhaneh Bakhtiari; Jacqueline Cummine (NeuroImage, 2017)

Sparse Graphical Models for Functional Connectivity Networks: Best Methods and the Autocorrelation Issue. - Yunan Zhu 003; Ivor Cribben (Brain Connect., 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)

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)

A clustering-based feature selection method for automatically generated relational attributes. - Mostafa Rezaei; Ivor Cribben; Michele Samorani (Ann. Oper. Res., 2021)

Nonparametric Anomaly Detection on Time Series of Graphs. - Dorcas Ofori-Boateng; Yulia R. Gel; Ivor Cribben (J. Comput. Graph. Stat., 2021)

Cross-covariance isolate detect: A new change-point method for estimating dynamic functional connectivity. - Andreas Anastasiou; Ivor Cribben; Piotr Fryzlewicz (Medical Image Anal., 2022)

Beyond Linear Dynamic Functional Connectivity: A Vine Copula Change Point Model. - Xin Xiong; Ivor Cribben (J. Comput. Graph. Stat., 2023)

A direct method for the estimation of the sparse and latent variable components of a Gaussian graphical model. - Martin Ondrus; Ivor Cribben (CoDIT, 2024)

Graphical Model-Based Lasso for Weakly Dependent Time Series of Tensors. - Dorcas Ofori-Boateng; Jaidev Goel; Ivor Cribben; Yulia R. Gel (ECML/PKDD (5), 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)