1 citations · 2 across the 7 of their papers we have counts for
9 papers
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…
Time multidimensional Markov Renewal chains -- An algebraic approach
Leonidas Kordalis, Samis Trevezas
In this study, a new extension of the Markov Renewal theory is introduced by allowing time to evolve in multiple dimensions. The resulting chains are referred to as multi-time Mark…
Moment-Type Estimators for the Dirichlet and the Multivariate Gamma Distributions
Ioannis Oikonomidis, Samis Trevezas
This study presents new closed-form estimators for the Dirichlet and the Multivariate Gamma distribution families, whose maximum likelihood estimator cannot be explicitly derived.…
Cumulative Link Mixed-Effects Models in the Service of Remote Sensing Crop Progress Monitoring
Ioannis Oikonomidis, Samis Trevezas
This study introduces an innovative Cumulative Link Modeling approach to monitor crop progress over large areas using remote sensing data. The models utilize the predictive attribu…