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08/04/2023
Information Geometry and Asymptotics for Kronecker Covariances
We explore the information geometry and asymptotic behaviour of estimato...
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07/25/2022
Core Shrinkage Covariance Estimation for Matrix-variate Data
A separable covariance model for a random matrix provides a parsimonious...
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03/23/2022
Tests of Linear Hypotheses using Indirect Information
In multigroup data settings with small within-group sample sizes, standa...
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04/07/2021
Equivariant Estimation of Fréchet Means
The Fréchet mean generalizes the concept of a mean to a metric space set...
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09/18/2020
The Stein Effect for Frechet Means
The Frechet mean is a useful description of location for a probability d...
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08/12/2018