Array Variate Elliptical Random Variables with Multiway Kronecker Delta Covariance Matrix Structure

2011/03/18 by Deniz Akdemir, Akdemir, Deniz
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Morphological variations and asymmetry #Other Statistics (stat.OT) #Point processes and geometric inequalities #Probability (math.PR) #Statistics Theory (math.ST) #math.PR #math.ST #stat.OT #stat.TH

paper · pdf · doi:10.48550/arxiv.1103.3543

A part of this paper appears in a Technical Report No: 11-02 published by Department of Mathematics and Statistics at the Bowling Green State University

openalex publication_date 2011/03/18 · arxiv created 2011/04/10 · arxiv updated 2011/04/12 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Standard statistical methods applied to matrix random variables often fail to describe the underlying structure in multiway data sets. In this paper we will discuss the concept of an array variate random variable and introduce a class of elliptical array densities which have elliptical contours.

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