We generate 1000 datasets for each combination of sample sizesI 1 =I 2 ∈ {25,50,100,150,200} and error variancesσ 2 ϵ ∈ {0.25,0.5,1}

We compare three scenarios: one where the null hypothesis is true by generating two datasets from modelz= 1, another where the eigenfunctions across both groups are orthogonal using data fromz= 1 vs · 2010

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Two Sample Test for Eigendecompositions of Functional Data

stat.ME · 2026-03-31 · accept · novelty 6.0

A new two-sample test for functional data eigendecompositions reveals that neural activation patterns exhibit significant trial-to-trial structural variation.

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Two Sample Test for Eigendecompositions of Functional Data stat.ME · 2026-03-31 · accept · none · ref 5
A new two-sample test for functional data eigendecompositions reveals that neural activation patterns exhibit significant trial-to-trial structural variation.

We generate 1000 datasets for each combination of sample sizesI 1 =I 2 ∈ {25,50,100,150,200} and error variancesσ 2 ϵ ∈ {0.25,0.5,1}

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