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.