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Model selection: a decision-theoretic approach
This manuscript addresses the problem of model selection, studied in the linear regression framework. The objective is to determine the best predictive model based on... -
Adaptive estimation of the intensity of some point processes by model selection.
In this thesis, we want to adapt model selection technics to<br />the problem of estimating the intensity of point processes. More precisely, we<br />want... -
Statistical Approaches for Segmentation : Application to Genome Annotation
We propose to model the output of transcriptome sequencing technologies (RNA-Seq) using the negative binomial distribution, as well as build segmentation models suited... -
Statistical methods for modelling the distribution and abundance of populatio...
In the context of global biodiversity loss, more and more surveys are done at a broad spatial extent and during a long time period, which is done in order to...
