Parametric modeling of photometric signals
Signal Processing
Joint segmentation of the wind speed and direction
Signal Processing
Joint segmentation of wind speed and direction using a hierarchical model
Computational Statistics & Data Analysis
Computer Methods and Programs in Biomedicine
Decomposition of human motion into dynamics-based primitives with application to drawing tasks
Automatica (Journal of IFAC)
Exploring the latent segmentation space for the assessment of multiple change-point models
Computational Statistics
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Segmentation of a nonstationary process consists in assuming piecewise stationarity and in detecting the instants of change. We consider the case where all the data is available at the same time and perform a global segmentation instead of a sequential procedure. We build a change process and define arbitrarily its prior distribution. This allows us to propose the MAP estimate as well as some minimum contrast estimate as a solution. One of the interests of the method is its ability to give the best solution, according to the resolution level required by the user, that is, to the prior distribution chosen. The method can address a wide class of parametric and nonparametric models. Simulations and applications to real data are proposed