A functional density-based nonparametric approach for statistical calibration

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

A late phase II clinical study of RP56976 (docetaxel) in patients with advanced or recurrent gastric cancer: a Cooperative Study Group trial (group B). Roth AD, Maibach R, Martinelli

In Section 3 a sequence of random measures is associated with the random scenery and con- ditions to ensure its convergence to a stable, Gaussian or fractional Gaussian random noise

The aim of this study is to develop operational measures to control severe postoperative complications (prevention, detection and management) through a systemic analysis

Combining in an additive way the components previously identified and described, we arrive to the specification of a linear model with scalar response (the peak of heat demand),

To this end, we propose in Section 5 a functional version of the wild bootstrap procedure, and we use it, both on simulated and on real functional datasets, to get some automatic

Moreover, model-free methods could be used for both activation detection in task study and functional networks analysis in resting-state study, which is difficult for model-based

Inspired both by the advances about the Lepski methods (Goldenshluger and Lepski, 2011) and model selection, Chagny and Roche (2014) investigate a global bandwidth selection method