An affine-invariant NN-graph test for MGGD goodness-of-fit that achieves asymptotic validity under high-dimensional scaling and consistency against fixed elliptical alternatives via cross-edge counting and refitted bootstrap.
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A Nonparametric Goodness-of-Fit Test for High-Dimensional Generalized Gaussian Distributions via Nearest-Neighbor Graphs
An affine-invariant NN-graph test for MGGD goodness-of-fit that achieves asymptotic validity under high-dimensional scaling and consistency against fixed elliptical alternatives via cross-edge counting and refitted bootstrap.