3 papers
math.ST2026
Singular Learning Theory for Factor Analysis
Mathias Drton, Elizabeth Gross, Dimitra Kosta +4
Watanabe's singular learning theory provides a framework for asymptotic analysis of Bayesian model selection for statistical models with singularities, where traditional statistica…
math.PR2026
On the Uniqueness of Fréchet Means for Polytope Norms
Roan Talbut, Andrew McCormack, Anthea Monod
Fréchet means are a popular type of average for non-Euclidean datasets, defined as those points which minimise the average squared distance to a set of data points. We consider th…
stat.ML2025
Robust Score Matching
Richard Schwank, Andrew McCormack, Mathias Drton
Proposed in Hyvärinen (2005), score matching is a parameter estimation procedure that does not require computation of distributional normalizing constants. In this work we utilize…