We study the problem of estimating the edges in noisy images by linewise procedures. We show that the straight forward estimation method (naïve Iinewise procedure) does not attain the asymptotically minimax rate of accuracy as the number of observations tends to [ infinity ]. We propose the...

This paper deals with a general class of observation-driven time series models with a special focus on time series of counts. We provide conditions under which there exist strict-sense stationary and ergodic versions of such processes. The consistency of the maximum likelihood estimators is then...