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math.ST2026
Hermite Spectra and Kernel Factorization for Gaussian-Weighted Tests of Normality
Nikolaos Gkoumas, Nickos Papadatos, Samis Trevezas
We study the asymptotic null spectrum of Gaussian-weighted tests of univariate normality with estimated location and scale. Closed Hermite coefficients give equations both away fro…
math.ST2026
Matrix asymptotic calculus for plug-in maximum likelihood estimators in finite Markov chains
Georgios Gavrilopoulos, Samis Trevezas, Irene Votsi
In this work, we develop a unified matrix-level asymptotic calculus for plug-in non-parametric maximum likelihood estimators in finite Markov models. Starting from the asymptotic d…