Relaxing the stationarity assumption in time series analysis is a challenging problem. We will present an approach based on Markov chain techniques through a notion called local stationarity and which consists in replacing the usual asymptotic by an "infill" one. The main

Lipschitz-Killing (LK) curvatures are geometrical tools which permit to analyze d dimensional objects. Considering a black and white image in dimension d= 2, there are three LK curvatures: the surface area, the half perimeter and the Euler characteristic. Each of

Protection against disclosure is a legal and ethical obligation for agencies releasing microdata files for public use. Any decision about releasing data  is supported by the estimation of measures of disclosure risk. The most common measure is arguably the number