1 citations · 2 across the 7 of their papers we have counts for
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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…
Evaluating the Impact of Epidemic Control via State-Dependent Markovian Switching Modeling
Vasileios E. Papageorgiou, Irene Votsi, Samis Trevezas
We develop an exact finite-population stochastic framework for SIR epidemics evolving under Markovian switching between intervention regimes. The epidemic state is augmented by a f…
Multi-time Markov renewal chains and stratified renewal theorems
Leonidas Kordalis, Samis Trevezas
We develop stratified renewal theorems for multi-time observations of Markov-additive paths on standard Borel state spaces with nonnegative integer vector increments. Horizon direc…
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…
Discrete time-multidimensional renewal theory and applications
Leonidas Kordalis, Samis Trevezas
We develop a discrete-time renewal framework in which renewal events evolve along multiple time coordinates and the sojourn mechanism is described by a general distribution on the…
Algebraic and FFT-Based Methods for Discrete-Time Matrix Convolutions with Applications to Semi-Markov Models
L. Kordalis, S. Trevezas
We consider finite-horizon convolution equations with matrix-valued coefficients and their use in Markov renewal computations. A sequence is inverted in a truncated noncommutative…