36 citations · 109 across the 14 of their papers we have counts for
3 papers · 1 filter
Cauchy robust principal component analysis with applications to high-deimensional data sets
Ayisha Fayomi, Yannis Pantazis, Michail Tsagris +1
Principal component analysis (PCA) is a standard dimensionality reduction technique used in various research and applied fields. From an algorithmic point of view, classical PCA ca…
Central limit theorem for intrinsic Frechet means in smooth compact Riemannian manifolds
Thomas Hotz, Huiling Le, Andrew T. A. Wood
We prove a central limit theorem (CLT) for the Frechet mean of independent and identically distributed observations in a compact Riemannian manifold assuming that the population Fr…
Generalized Score Matching for Regression
Jiazhen Xu, Janice L. Scealy, Andrew T. A. Wood +1
Many probabilistic models that have an intractable normalizing constant may be extended to contain covariates. Since the evaluation of the exact likelihood is difficult or even imp…