-
Modèles hiérarchiques et processus ponctuels spatio-temporels - Applications ...
Point processes are often used as spatial or spatio-temporal distribution models of occurrences. In this PhD dissertation, we focus first on Cox processes driven by a... -
Bayesian models for synchronizations detection in electrocortical signals
This thesis promotes new methods to analyze intracranial cerebral signals (local field potentials), which overcome limitations of the standard time-frequency method of... -
Ecological assessment of running waters using bio-indicators : associated var...
Sensitive biological measures of ecosystem quality are needed to assess, maintain or restore the ecological conditions of rivers. Since our understanding of these... -
Data analysis technics and bayesian models applied to the contexte of social ...
The purpose of this thesis is to improve the knowledge about and apply data mining techniques and some Bayesian model in the field of social and environmental health... -
Near-Optimal Algorithms for Sequential Information-Gathering Decision Problems
The MDP formalism and its variants are usually used to control the state of a system through an agent and its policy. When the agent confronts incomplete information,...
