Building confidence bands using empirical likelihood methods : functional delta-method and recurrent event processes

The starting point of this thesis is a data set of nosocomial infectionsin an intensive care unit of a French hostipal. We focused our attention onbuilding confidence bands for some parameters of interest using empiricallikelihood techniques. In order to do so, we had to adapt and develop somealready existing methods so that they fit our setup.We begin by giving a state of the art of the different theories we use.We then apply them to different setups and demonstrate new results whenneeded. Finally, we conduct simulations and describe our algorithms.

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Source https://theses.hal.science/tel-00955359
Author Flesch, Alexis
Maintainer CCSD
Last Updated May 6, 2026, 03:42 (UTC)
Created May 6, 2026, 03:42 (UTC)
Identifier NNT: 2012BESA2018
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de Mathématiques de Besançon (UMR 6623) (LMB) ; Centre National de la Recherche Scientifique (CNRS)-Université de Franche-Comté (UFC) ; Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)
creator Flesch, Alexis
date 2012-07-12T00:00:00
harvest_object_id d931ae0b-2e9b-45be-867c-a63e7b1c9450
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-31T00:00:00
set_spec type:THESE