Marginal covariance matrix C1 used for simulations in the paper <a href="http://arxiv.org/abs/1505.02023">http://arxiv.org/abs/1505.02023</a>

datasets

Functions for testing if the covariance structure of 2-dimensional data
(e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) =
C_1 x C_2.
A complete descriptions of the implemented tests can be found in the paper
Aston, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for separability in
nonparametric covariance operators of random surfaces. Ann. Statist. 45 (2017),
no. 4, 1431--1461. <doi:10.1214/16-AOS1495> <https://projecteuclid.org/euclid.aos/1498636862> <arXiv:1505.02023>.

Shahin Tavakoli

covsep

Tests for Determining if the Covariance Structure of
2-Dimensional Data is Separable

Davide Pigoli

John Aston

C1 function

An object of class <code>matrix</code> with 32 rows and 32 columns.

Format

Marginal covariance matrix C1 used for simulations in the paper <a href='http://arxiv.org/abs/1505.02023'>http://arxiv.org/abs/1505.02023</a>

C1: A covariance matrix

Description

Usage

Arguments

Format

Details

References

Examples