Research Interests
Analysis of nonEuclidean and tensor data
Algebraic statistics and graphical models
Information geometry
Decision theory
My work currently focuses on problems at the intersection of algebra, geometry and statistics. One particular area I am interested in is the statistical analysis of nonEuclidean data. Classical statistical techniques can usually only be partially leveraged to deal with nonEuclidean data, presenting distinct challenges. A second, related topic that I like to think about is the study of the geometry and symmetries of statistical models. If you are interested in these areas please do not hesitate to reach out!
Preprints
Drton, M., Grosdos A., McCormack A. (2024). Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices. arXiv preprint
arXiv:2401.08280. arXiv
McCormack A., Hoff, P. (2023). Information Geometry and Asymptotics for Kronecker Covariances. arXiv preprint arXiv:2308.02260.
arXiv
Publications
McCormack, A. & Hoff, P. (2023). Equivariant Estimation of Fréchet Means. (Accepted, Biometrika)
arXiv
McCormack, A. & Hoff, P. (2022). The Stein Effect for Fréchet Means. Ann. Statist, 50 (6), 3647  3676.
arXiv AOS PDF
McCormack, A. & Hoff, P. (2022). Tests of Linear Hypotheses using Indirect Information. (Accepted, Canadian Journal of Statistics)
arXiv
Hoff, P., McCormack A. & Zhang, A. R. (2022). Core Shrinkage Covariance Estimation for Matrixvariate Data. (Accepted, JRSS B).
arXiv
McCormack, A., Reid, N., Sartori, N., & Theivendran, S. A. (2019). A directional look at F tests. Canadian Journal of Statistics, 47(4), 619627.
arXiv CJS
