New Mexico State University

• Large deviation principle for additive functionals of semi-Markov processes
 Stochastic Analysis and Applications, 2022

• Sizing up the regions of unique minima in the least squares nonlinear regression
(with L. Khinkis and M. Crotzer) Mathematics for Applications, Volume 7 (2018), 41-52

• An invariance principle for additive functionals of semi-Markov processes
 Lecture Notes in Computer Science, Springer, LNCS 10684, (2017), 409-420

• Limit theorems for additive functionals of semi-Markov processes
 Proceedings volume of ACMPT 2017 - Analytical and Computational Methods in Probability Theory and its Applications, Moscow, 659-664

• An almost sure central limit theorem for autoregressive processes
International Journal of Computational and Theoretical Statistics, Volume 4, Issue 1 (2017), 77-82

• Large Deviations via Almost Sure CLT for Functionals of Markov Processes
(with A. Korzeniowski) Stochastic Analysis and Applications, 30(5) (2012), 933-947

• Large deviations application to exit times for switched Markov processes
(with A. Korzeniowski) International Journal of Pure and Applied Mathematics, 69, No 2 (2011), 137-150

• Large deviations for additive functionals of Markov processes
(with A. Korzeniowski) International Journal of Pure and Applied Mathematics, 53 (2009), 441-459

• Large deviation principle for ergodic processes on split spaces
(with A. Korzeniowski) Dynamic Systems and Applications 18 (2009), 589-604

• Essential exercises and problems in Advanced Mathematics
(with O. Stanasila) Printech, Bucharest, 2003, ISBN 973-652-785-9