J. Bai, LEAST SQUARES ESTIMATION OF A SHIFT IN LINEAR PROCESSES, Journal of Time Series Analysis, vol.72, issue.5, pp.453-472, 1994.
DOI : 10.1214/aos/1176350509

J. M. Bardet, W. Kengne, and O. Witenberger, Multiple breaks detection in general causal time series using penalized quasi-likelihood, Electronic Journal of Statistics, vol.6, issue.0, pp.435-477, 2012.
DOI : 10.1214/12-EJS680

M. Basseville and I. V. Nikiforov, Detection of abrupt changes: theory and application, Information and System Sciences Series, 1993.
URL : https://hal.archives-ouvertes.fr/hal-00008518

G. Biau, F. Bunea, and M. Wegkamp, Functional Classification in Hilbert Spaces, IEEE Transactions on Information Theory, vol.51, issue.6, pp.2163-2172, 2005.
DOI : 10.1109/TIT.2005.847705

L. Breiman, Random forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

A. Chambaz and C. Denis, Classification in postural style, The Annals of Applied Statistics, vol.6, issue.3, 2012.
DOI : 10.1214/12-AOAS542SUPP

URL : https://hal.archives-ouvertes.fr/hal-00576070

C. Cuenod, B. Favetto, V. Genon-catalot, Y. Rozenholc, and A. Samson, Parameter estimation and change-point detection from Dynamic Contrast Enhanced MRI data using stochastic differential equations, Mathematical Biosciences, vol.233, issue.1, pp.68-76, 2011.
DOI : 10.1016/j.mbs.2011.06.006

URL : https://hal.archives-ouvertes.fr/hal-00622864

P. Hall, D. Poskitt, and B. Presnell, A functionnal data-analytic approach to signal discrimination, Technometrics, vol.43, 2001.

G. James and T. Hastie, Functional linear discriminant analysis for irregularly sampled curves, Journal of the Royal Statistical Society: Series B (Statistical Methodology), vol.63, issue.3, pp.533-550, 2001.
DOI : 10.1111/1467-9868.00297

M. Kessler, Estimation of an ergodic diffusion from discrete observations. Scand, J. Statist, vol.24, pp.211-229, 1997.

P. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equation of Stochastic modelling and applied probability, 1992.

M. Lavielle, Detection of multiple changes in a sequence of dependent variables. Stochastic Process, Appl, vol.83, pp.79-102, 1999.

M. Lavielle, Using penalized contrasts for the change-point problem, Signal Processing, vol.85, issue.8, pp.1501-1510, 2005.
DOI : 10.1016/j.sigpro.2005.01.012

URL : https://hal.archives-ouvertes.fr/inria-00070662

M. Lavielle and C. Ludeña, The Multiple Change-Points Problem for the Spectral Distribution, Bernoulli, vol.6, issue.5, pp.845-869, 2000.
DOI : 10.2307/3318759

J. Ramsay and B. Silverman, Functional Data Analysis, 2005.