Poly, G. J., & Nourdin, I. (2016). Convergence in law implies convergence in total variation for polynomials in independent Gaussian, Gamma or Beta random variables. Progress in Probability, 71, 381-394. doi:10.1007/978-3-319-40519-3_17 Peer reviewed |
Azmoodeh, E., Malicet, D., Mijoule, G., & Poly, G. J. (28 May 2015). Generalization of the Nualart-Peccati criterion. Annals of Probability, 44, 924-954. doi:10.1214/14-AOP992 Peer Reviewed verified by ORBi |
Azmoodeh, E., Campese, S., & Poly, G. J. (15 February 2014). Fourth Moment Theorems for Markov diffusion generators. Journal of Functional Analysis, 266 (4), 2341–2359. doi:10.1016/j.jfa.2013.10.014 Peer Reviewed verified by ORBi |
Malicet, D., & Poly, G. J. (2013). Properties of convergence in Dirichlet structures. Journal of Functional Analysis. doi:10.1016/j.jfa.2013.02.007 Peer reviewed |
Nourdin, I., Nualart, D., & Poly, G. J. (2013). Absolute continuity and convergence of densities for random vectors on Wiener chaos. Electronic Journal of Probability, 18 (22), 1--19. doi:10.1214/EJP.v18-2181 Peer Reviewed verified by ORBi |
Poly, G. J., & Nourdin, I. (2013). An invariance principle under the total variation distance. Stochastic Processes and Their Applications. doi:10.1016/j.spa.2014.12.010 Peer reviewed |
Poly, G. J. (2012). bsolute continuity of Markov chains ergodic measures by Dirichlet forms methods. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/13655. |