Capasso V., Morale D., “Asymptotic Behavior of a System of Stochastic Particles Subject to Nonlocal Interactions”, Stoch. Anal. Appl., 27:3 (2009), 574–603
Jasso-Fuentes H., Hernández-Lerma O., “Ergodic control, bias, and sensitive discount optimality for Markov diffusion processes”, Stoch. Anal. Appl., 27:2 (2009), 363–385
Annamaria Bianchi, “The normal approximation rate for the drift estimator of multidimensional diffusions”, Stat Inference Stoch Process, 12:3 (2009), 251
Héctor Jasso-Fuentes, Onésimo Hernández-Lerma, “Blackwell Optimality for Controlled Diffusion Processes”, J. Appl. Probab., 46:02 (2009), 372
Capasso V., Morale D., “Rescaling stochastic processes: asymptotics”, Multiscale problems in the life sciences, Lecture Notes in Math., 1940, Springer, Berlin, 2008, 91–146
Jasso-Fuentes H., Hernández-Lerma O., “Characterizations of overtaking optimality for controlled diffusion processes”, Appl. Math. Optim., 57:3 (2008), 349–369
Delphine Blanke, Denis Bosq, “Regression Estimation and Prediction in Continuous Time”, JJSS, 38:1 (2008), 15
Bianchi A., “Nonparametric trend coefficient estimation for multidimensional diffusions”, C. R. Math. Acad. Sci. Paris, 345:2 (2007), 101–105
Capasso V., Morale D., Ortisi M., “Long time behavior of a system of stochastic differential equations modelling aggregation”, Math everywhere: Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry, Springer, Berlin, 2007, 25–38
Bianchi A., “Invariant density estimation for multidimensional diffusions”, Math everywhere: Deterministic and Stochastic Modelling in Biomedicine, Economics and Industry, Springer, Berlin, 2007, 39–50
Vincenzo Capasso, Daniela Morale, Matteo Ortisi, Math Everywhere, 2007, 25
Annamaria Bianchi, Math Everywhere, 2007, 39
Veretennikov A.Yu., “On lower bounds for mixing coefficients of Markov diffusions”, From stochastic calculus to mathematical finance: The Shiryaev Festschrift, 2006, 623–633, Springer, Berlin
Veretennikov A.Yu., “On ergodic measures for McKean-Vlasov stochastic equations”, Monte Carlo and quasi-Monte Carlo methods 2004, Springer, Berlin, 2006, 471–486