Research
Bavarian Alps, Germany
Research
Bavarian Alps, Germany
Analysis of non-Euclidean data on general metric spaces or manifolds
Algebraic statistics and graphical models
Matrix and tensor decompositions and the analysis of tensor-valued data
Information geometry
Theoretical and computational aspects of model selection
Order constrained statistical inference
Statistical decision theory
Drton, M., McCormack, & Windisch, D. (2026) Asymptotics for Model Selection in Probabilistic Principal Components Analysis.
arXiv preprint arXiv:2608.23513
arXiv
Drton, M., Gross, E., Kosta, D., Leykin, A., McCormack, A., Sullivant, S., & Windisch, D. (2026) Singular Learning Theory for Factor Analysis.
arXiv preprint arXiv:2511.15419v2
arXiv
Talbut, R., McCormack, A., Monod, A. (2026) On the Uniqueness of Frechet Means for Polytope Norms.
arXiv preprint arXiv:2603.15785
arXiv
McCormack, A. (2026). On the Existence of Unbiased Hypothesis Tests: An Algebraic Approach.
Electronic Journal of Statistics, 20(1), 1200-1227.
arXiv EJS
McCormack, A. (2026). The Nondecreasing Rank.
Linear Algebra and Its Applications, 728, 125-160.
arXiv LAA
Schwank, R., McCormack, A., & Drton, M. (2025). Robust Score Matching.
The 28th International Conference on Artificial Intelligence and Statistics (AISTATS)
arXiv PMLR
McCormack, A. & Hoff, P. (2024). Information Geometry and Asymptotics for Kronecker Covariances.
Bernoulli, 31(4), 3165-3186.
arXiv Bernoulli
Drton, M., Grosdos, A., & McCormack, A. (2024). Rational Maximum Likelihood Estimators of Kronecker Covariance Matrices.
Algebraic Statistics, 15(1), 145-163.
arXiv AlgStat
McCormack, A. & Hoff, P. (2023). Equivariant Estimation of Fréchet Means.
Biometrika, 110(4), 1055-1076.
arXiv BKA
McCormack, A. & Hoff, P. (2022). The Stein Effect for Fréchet Means.
Annals of Statistics, 50(6), 3647-3676.
arXiv AOS PDF
McCormack, A. & Hoff, P. (2022). Tests of Linear Hypotheses using Indirect Information.
Canadian Journal of Statistics, 51(3), 852-876. Special Issue in Honour of Nancy Reid.
arXiv CJS
Hoff, P., McCormack, A., & Zhang, A. R. (2022). Core Shrinkage Covariance Estimation for Matrix-variate Data.
Journal of the Royal Statistical Society Series B: Statistical Methodology, 85(5), 1659-1679.
arXiv JRSSB
McCormack, A., Reid, N., Sartori, N., & Theivendran, S. A. (2019). A directional look at F tests.
Canadian Journal of Statistics, 47(4), 619-627.
arXiv CJS