Ivor Cribben

Associate Professor, Alberta School of Business - Department of Accounting and Business Analytics


Associate Professor, Alberta School of Business - Department of Accounting and Business Analytics
(780) 248-1930
4-30G Business Building
11203 Saskatchewan Drive NW
T6G 2R6



Google Scholar


Research Interests

  • Time Series Analysis
  • Statistical Methods in fMRI
  • Methods for High Dimensional Data
  • Graphical Models
  • Non-Parametric Statistics
  • Extreme Value Theory
  • Neuroeconomics


Teaching Interests

  • Forecasting for Planners and Managers
  • Applied Business Analysis of Time Series and Panel Data
  • Multivariate Data Analysis
  • Business Analytics


A Spotlight on Research at the Alberta School of Business

How is neuro statistics linked with decision-making?

My findings tell us...

  • The brain's functionality and dynamic integration can be statistically analyzed by looking at networks.
  • Statistical analysis of fMRI scans shows that people with gambling disorders have unique brain networks as they are making financial decisions.
  • The comparison of networks can be further applied to a broad spectrum of brain disorders such as dyslexia, cerebral palsy and Alzheimer's. 

Read more about this research...


MGTSC 488 - Selected Topics in Management Science

Normally restricted to third- and fourth- year Business students. Prerequisites: MGTSC 312 or consent of Department. Additional prerequisites may be required.

Winter Term 2023 Winter Term 2023

MGTSC 645 - Introduction to Business Analytics

The merging of massive data-sets with analytical tools from Statistics, Computer Science, and Operations Research has created the emerging field of analytics. Methods are developing rapidly based on statistical platforms such as SAS and R, or more general purpose programming tools such as Python. This course will build on the basis from MGTSC 501 to provide an overview of Big Data and analytics, and develop programming and methodological skills to acquire, analyze, and present analysis. Prerequisite: MGTSC 501.

Winter Term 2023

MGTSC 705 - Multivariate Data Analysis I

An overview of multivariate data analysis normally taken by students in the first year of the Business PhD program. Designed to bring students to the point where they are comfortable with commonly used data analysis techniques available in most statistical software packages. Students are expected to complete exercises in data analysis and in solving proofs of the major results. Topics will include univariate analysis, bivariate analysis, multiple linear regression, and analysis of variance. It is expected that students have as background at least one semester of calculus, one semester of linear algebra, and two semesters introduction to probability, probability distributions and statistical inference. Prerequisite: Registration in Business PhD Program or written permission of instructor. Approval of the Business PhD Program Director is also required for non-PhD students.

Winter Term 2023

Browse more courses taught by Ivor Cribben


Beyond linear dynamic functional connectivity: a vine copula change point model

Author(s): Xiong, X., Cribben, I.
Publication Date: 4/26/2021
Publication: bioRxiv
External Link: https://www.biorxiv.org/content/10.1101/2021.04.25.441254v1

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
External Link: https://arxiv.org/abs/2103.06347

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
External Link: https://cran.r-project.org/web/packages/vccp/vccp.pdf

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
External Link: https://cran.r-project.org/web/packages/fabisearch/fabisearch.pdf

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
External Link: https://arxiv.org/abs/2102.09689

package 'ccid'

Author(s): Anastasiou, A., Cribben, I., & Fryzlewicz, P.
Publication Date: 1/7/2021
Publication: R package version
Volume: 1
External Link: https://cran.r-project.org/web/packages/ccid/index.html

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
External Link: https://www.biorxiv.org/content/biorxiv/early/2020/12/22/2020.12.20.423696.full.pdf

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
External Link: https://www.tandfonline.com/doi/full/10.1080/10618600.2020.1844214

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
External Link: https://onlinelibrary.wiley.com/doi/full/10.1111/biom.13287

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
External Link: https://bmcpsychiatry.biomedcentral.com/articles/10.1186/s12888-018-2007-1

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
External Link: https://onlinelibrary.wiley.com/doi/full/10.1002/asmb.2373

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
External Link: https://www.sciencedirect.com/science/article/pii/S105381191830497X

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
External Link: https://link.springer.com/article/10.1007/s10479-018-2830-2

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
External Link: https://www.liebertpub.com/doi/full/10.1089/brain.2017.0511

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
External Link: https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssc.12169

extremogram: estimating extreme value dependence

Author(s): Frolova, N, Cribben, I.
Publication Date: 2016
External Link: https://cran.r-project.org/web/packages/extremogram/index.html

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
External Link: http://www.frontiersin.org/Journal/10.3389/fncom.2013.00143/abstract

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
External Link: http://www.sciencedirect.com/science/article/pii/S1053811912003515

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
External Link: http://dx.doi.org/10.1016/j.jeconom.2012.04.003