Ivor Cribben

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

Contact

Professor, Alberta School of Business - Department of Accounting and Business Analytics
Email
cribben@ualberta.ca
Phone
(780) 248-1930
Address
4-30G Business Building
11203 Saskatchewan Drive NW
Edmonton AB
T6G 2R6

Overview

About

Google Scholar


Research

Research Interests

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

Teaching

Teaching Interests

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

Announcements

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...

Courses

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.


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.


MGTSC 801 - Data Analysis and Decision Making

Developing the ability to collect information and to use information technology to analyze statistically and draw conclusions; developing computer skills and understanding research methods. Restricted to students registered in the MBA China Program.


OM 710 - Individual Research


Browse more courses taught by Ivor Cribben

Featured Publications

Xiong, X., Cribben, I.

The American Statistician. 2022 October; 10.1080/00031305.2022.2131625


Xiong, X., Cribben, I.

Journal of Computational and Graphical Statistics. 2022 September; 10.1080/10618600.2022.2127738


Ondrus, M., Cribben, I.

arXiv preprint arXiv:2207.02986.. 2022 July; 10.48550/arXiv.2207.02986


Han, L., Cribben, I., Trueck, S.

arXiv preprint arXiv:2202.09970.. 2022 February; 10.48550/arXiv.2202.09970


Anastasiou, A., Cribben, I., & Fryzlewicz, P.

Medical Image Analysis. 2021 September; 75 10.1016/j.media.2021.102252


Zhang, W., Cribben, I., Petrone, S., Guindani, M.

arXiv preprint arXiv:2106.14083. 2021 June; 10.48550/arXiv.2106.14083


Xiong, X., Cribben, I.

R package version. 2021 March; 1


Ondrus, M., Cribben, I.

R package version. 2021 February; 2


Ding, L., Cribben, I., Ingolfsson, A., Tran, M.

arxiv. 2021 February;


Anastasiou, A., Cribben, I., & Fryzlewicz, P.

R package version. 2021 January; 1


Ofori-Boateng, D., Gel, Y., Cribben, I.

Journal of Computational and Graphical Statistics . 2020 October; 30 (3):756-767


Xu, M., Reiss, P.T., Cribben, I.

Biometrics. 2020 April; 77 (1):258-270 10.1111/biom.13287


Brown, M.R.G., Agyapong, V., Greenshaw, A.J., Cribben, I.

BMC Psychiatry. 2018 December; 19 (1):1-11


Cribben, I.

Applied Stochastic Models in Business and Industry. 2018 August; 35 (2):299-320


Hart, B., Cribben, I., Fiecas, M.

NeuroImage. 2018 May; 178


Rezaei, M., Cribben, I., Samorani, M.

Annals of Operations Research. 2018 April;


Zhu, Y., Cribben, I.

Brain Connectivity. 2018 April; 8 (3):139-165


Cribben, I., Yu, Y.

Journal of the Royal Statistical Society: Series C (Applied Statistics). 2017 January; 66 (3):607-627


Frolova, N, Cribben, I.

2016 January;


Cribben, I., Wager, T.D., Lindquist, M.A.

Frontiers in Computational Neuroscience. 2013 January; 7:143


Cribben, I., Haraldsdottir, R., Atlas, L., Wager, T.D., Lindquist, M.A.

NeuroImage. 2012 January; 61


Davis, R.A., Mikosch, T., Cribben, I

Journal of Econometrics. 2012 January; 170