18 datasets found

The first part of this thesis deals with maximum likelihood estimation in Markovian mixed-eff ects models. More precisely, we consider mixed-eff ects hidden Markov...

This thesis presents blind source separation (BSS) methods for a particular model of mixture, the quadratic one. The first part presents the separating structure...

National audience

This dissertation takes place in the framework of design and analysis of computer experiments. More precisely, its main focus is on optimization strategies based on...

This thesis is dedicated to inference problems in hidden Markov models. The first part is devoted to an online maximum likelihood estimation procedure which does not...

This thesis deals with the statistical inference of large dimensional data. The random matrix theory allows to take into account this framework, since most asymptotic...

Solution crystallization processes are widely used in the process industry as separation and purification operations and are expected to produce solids with desirable...

This study is devoted to seismic waves separation which consist of the principal seismic treatment before any physical interpretation. In the first part of this work,...

National audience

Generalized linear models are a generalization of linear regression models, and are widely used in the field of life. The logistic regression model, one of this class...

In this thesis, we studied the efficient non-diagonal precoder based on the maximization of the minimum Euclidean distance (max-dmin) between two received data...

This thesis deals with the study, the conception, the development and the test of an online unconstrained handwriting word recognition system for an omni-writer...

In ecology as well as in other scientific areas, count samples often comprise many zeros, and few high abundances. Their distribution is particularly overdispersed,...

Molecular phylogenetic reconstruction aim at recovering the evolutionary tree (or phylogeny) of a set of homologous sequences. The maximum likelihood method seems to...

Variation of substitution rates across sites is widespread among biological sequences. A gamma distribution, defined by a shape parameter, is generally used to model...

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...

The parametric estimation of the covariance function of a Gaussian process is studied, in the framework of the Kriging model. Maximum Likelihood and Cross Validation...

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