1 citations · 2 across the 8 of their papers we have counts for
8 papers
The Nondecreasing Rank
Andrew McCormack
In this article the notion of the nondecreasing (ND) rank of a matrix or tensor is introduced. A tensor has an ND rank of r if it can be represented as a sum of r outer products of…
On the Existence of Unbiased Hypothesis Tests: An Algebraic Approach
Andrew McCormack
In hypothesis testing problems the property of strict unbiasedness describes whether a test is able to discriminate, in the sense of a difference in power, between any distribution…
Information Geometry and Asymptotics for Kronecker Covariances
Andrew McCormack, Peter Hoff
We explore the information geometry and asymptotic behaviour of estimators for Kronecker-structured covariances, in both growing- and growing- scenarios, with a focus towards…
Core Shrinkage Covariance Estimation for Matrix-variate Data
Peter Hoff, Andrew McCormack, Anru R. Zhang
A separable covariance model for a random matrix provides a parsimonious description of the covariances among the rows and among the columns of the matrix, and permits likelihood-b…
Tests of Linear Hypotheses using Indirect Information
Andrew McCormack, Peter Hoff
In multigroup data settings with small within-group sample sizes, standard -tests of group-specific linear hypotheses can have low power, particularly if the within-group sample…
Equivariant Estimation of Fréchet Means
Andrew McCormack, Peter Hoff
The Fréchet mean generalizes the concept of a mean to a metric space setting. In this work we consider equivariant estimation of Fréchet means for parametric models on metric space…