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Signal decompositions using trans-dimensional Bayesian methods.
This thesis addresses the challenges encountered when dealing with signal decomposition problems with an unknown number of components in a Bayesian framework.... -
Bayesian statistics and applications to populations genetics
Statistical approaches in population genetics have two distinct objectives, which consist of describing the data and of inferring the evolutionary processes that... -
Bayesian interpretation of Generalized empirical likelihood by maximum entropy
We study a parametric estimation problem related to moment condition models. As an alternative to the generalized empirical likelihood (GEL) and the generalized method... -
Bernstein von Mises Theorems for Gaussian Regression with increasing number o...
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Multi-point of view knowledge modelling of an industrial system and of its en...
Nowadays, the importance of the maintenance function has increased, due to the requirements on the maintain in operational conditions phase (MCO) of the... -
Bayesian computation via empirical likelihood.
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A Bayesian method with empirically fitted priors for the evaluation of enviro...
International audience -
Spatio-temporal dynamics of an introduced predator on a sub-antartic island :...
Sub-Antarctic ecosystems are particularly vulnerable to environmental perturbations including biological invasions. The introduction of the feral cat (Felis silvestris... -
Markov modeling of the dynamics of land uses: Case of plots on the edge of th...
We consider a Markovian inference and modeling approach applied to land-use dynamics within the context of parcels of land on the edge of the forest corridor linking... -
Gentlemen first? 'Broken stick' modelling reveals sex-related homing decision...
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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... -
Particle approximation and the Laplace method for Bayesian filtering
The thesis deals with the contribution of the Laplace method to the approximation of the Bayesian filter in hidden Markov models with continuous state--space, i.e. in... -
Meta-analysis methods to estimate N2O emissions from agricultural soils.
The term meta-analysis refers to the statistical analysis of a large set of results coming from individual studies about the same topic. This approach is increasingly... -
Effects of biotic interactions on forest regeneration along climatic gradients
Understand how climate change could influence forest tree recruitment is a challenge because germination, seedling growth and seedling survival are especially... -
Analysis of PBPK models for risk characterization
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Combined global sensitivity analysis and population PBPK modeling for assessi...
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Second order Monte Carlo and Bayesian inference methods for assessing microbi...
The aim of this work is to set up microbiological risk and nutritional benefit assessment methods in the transformation of vegetables, in view of a risk-benefit...
