Dr Gabriel Wallin
Lecturer in StatisticsResearch Overview
My research interests lie in the intersection between latent variable modeling and statistical learning. Much of my research is motivated by concepts of fairness and interpretability in the social, behavioral and health sciences. Topics include:
- the structural learning of latent variable models,
- multivariate outlier detection,
- model-based clustering,
- algorithmic fairness in educational testing,
- change-point detection for latent factor models.
Web Links
2024
Journal article
Smoothing of bivariate test score distributions - Model selection targeting test score equating
Wallin, G., Wiberg, M. 1/06/2024 In: Journal of Educational and Behavioral Statistics.DIF Analysis with Unknown Groups and Anchor Items
Wallin, G., Chen, Y., Moustaki, I. 1/03/2024 In: Psychometrika. 89, 1, p. 267-295. 29 p.
Book/Film/Article review
An Introduction to R and Python for Data Analysis: A Side-by-Side Approach.An Introduction to R and Python for Data Analysis: A Side-by-Side Approach. Taylor R. Brown. Boca Raton, FL: Chapman & Hall/CRC Press, 2023, xix + 246 pp., $99.95(H), ISBN: 978-1-032-20325-6.
Wallin, G. 30/04/2024 In: The American Statistician. 78, 2
- Social and Economic Statistics
- STOR-i Centre for Doctoral Training