A. Kohatsu-Higa, N. Vayatis, and
K. Yasuda
Strong Consistency of the Bayesian Estimator for the
Ornstein–Uhlenbeck Process.
Book Chapter in Y. Kabanov, M. Rutkowski, T. Zariphopoulou (eds.),
Inspired by Finance - The Musiela Festschrift: 411-437, 2014.
A. Kohatsu, N. Vayatis, and K. Yasuda.
Strong consistency of Bayesian
estimator under discrete observations and unknown transition density.
in Stochastic Analysis with Financial Applications: Hong Kong 2009, A.
Kohatsu-Higa, N. Privault, S.-J. Sheu eds., Birkhauser, pp. 145-168,
2011.
A. Kohatsu-Higa, N. Vayatis, and K.
Yasuda.
Strong consistency of the Bayesian
estimator for the Ornstein-Uhlenbeck process.
Proceedings of the Metabief Conference, 2011.
J. Defretin, S. Herbin, G. Le
Besnerais, and N. Vayatis.
Adaptive Planification in Active 3D Object Recognition for Many
Classes of Objects.
RSS 2010 Workshop - Robotics, Science and Systems. June 2010.
O. Ambrym-Maillard and N. Vayatis.
Complexity versus agreement for many views.
Proceedings of ALT'09, Lecture Notes in Computer Science, pp. 232-246,
Springer, 2009.