AMORINO, C., HEIDARI, A., Pilipauskaitė, V., & PODOLSKIJ, M. (September 2023). Parameter estimation of discretely observed interacting particle systems. Stochastic Processes and Their Applications, 163, 350 - 386. doi:10.1016/j.spa.2023.06.011 Peer Reviewed verified by ORBi |
AMORINO, C., & Gloter, A. (2023). Minimax rate for multivariate data under componentwise local differential privacy constraints. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57972. |
AMORINO, C., & Gloter, A. (2022). Estimation of the invariant density for discretely observed diffusion processes: impact of the sampling and of the asynchronicity. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50598. |
AMORINO, C., & Nualart, E. (2022). Optimal convergence rates for the invariant density estimation of jump-diffusion processes. ESAIM: Probability and Statistics. doi:10.13140/RG.2.2.23569.04962 Peer Reviewed verified by ORBi |
AMORINO, C., & Gloter, A. (2021). Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Holder classes. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50597. |
AMORINO, C.* , & Gloter, A.*. (2021). Invariant density adaptive estimation for ergodic jump diffusion processes over anisotropic classes. Journal of Statistical Planning and Inference. doi:10.1016/j.jspi.2020.11.006 Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |
AMORINO, C. (2020). Rate of estimation for the stationary distribution of jump-processes over anisotropic Holder classes. Electronic Journal of Statistics. doi:10.1214/21-EJS1913 Peer Reviewed verified by ORBi |
AMORINO, C., Dion, C., Gloter, A., & Lemler, S. (2020). On the nonparametric inference of coefficients of self-exciting jump-diffusion. Electronic Journal of Statistics. Peer Reviewed verified by ORBi |
AMORINO, C.* , & Gloter, A.*. (2020). Joint estimation for volatility and drift parameters of ergodic jump diffusion processes via contrast function. Statistical Inference for Stochastic Processes. doi:10.1007/s11203-020-09227-z Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |
AMORINO, C.* , & Gloter, A.*. (2020). Contrast function estimation for the drift parameter of ergodic jump diffusion process. Scandinavian Journal of Statistics. doi:10.1111/sjos.12406 Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |
AMORINO, C.* , & Gloter, A.*. (2020). Unbiased truncated quadratic variation for volatility estimation in jump diffusion processes. Stochastic Processes and Their Applications. doi:10.1016/j.spa.2020.04.010 Peer Reviewed verified by ORBi * These authors have contributed equally to this work. |