Uniform convergence and asymptotic confidence bands for model-assisted estimators of the mean of sampled functional data

We first investigate the order of magnitude of the worst-case risk of three types of estimators of a linear functional: the greedy subset selection (GSS), the group (hard and

For LASSO, Ewald and Schneider (2020) relaxed the general position condition on X on a necessary and sufficient condition for uniform uniqueness. Recently, this condition was

The mean-field limit concerns systems of interacting (classical or quantum)

Smoothed extreme value estimators of non-uniform point processes boundaries with application to star-shaped supports estimation.. Nonparametric regression estimation of

Pfanzagl gave in [Pfa88, Pfa90] a proof of strong consistency of asymptotic max- imum likelihood estimators for nonparametric “concave models” with respect to the.. 1 The

We also remark that, for the asymptotic normality to hold, the necessary num- ber of noisy model evaluations is asymptotically comparable to the Monte-Carlo sample size (while, in

Variance estimation and asymptotic confidence bands for the mean estimator of sampled functional data with high entropy unequal probability sampling designs... Variance estimation

be infinitesimal and to verify the General Central Limit Theorem, and includes the consideration of different resampling sizes as well as different norming