Research Interests

  • Analysis of non-Euclidean 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 non-Euclidean data. Classical statistical techniques can usually only be partially leveraged to deal with non-Euclidean data, presenting distinct challenges. A second, related topic that I like to think about is the study of the geometry and symmetries of statistcal models. If you are interested in these areas please do not hesitate to reach out!


  • McCormack, A., & Hoff, P. (2020). The Stein Effect for Frechet Means. arXiv preprint arXiv:2009.09101.

  • McCormack, A., & Hoff, P. (2021). Equivariant Estimation of Frechet Means. arXiv preprint arXiv:2104.03397.

  • McCormack, A. & Hoff, P. (2022). Tests of Linear Hypotheses using Indirect Information. arXiv preprint arXiv:2203.12732.


  • 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