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Book reviews, Spring 2013 . Special issue on George Casella's books
This note is made of an obituary of George Casella by Christian Robert and of ve reviews of books written by George Casella, books that appeared a while ago, as a... -
Inférence statistique dans les modèles mixtes à dynamique Markovienne
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... -
Likelihood Ratio Test process for Quantitative Trait Locus detection
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PCA and PMF based methodology for air pollution sources identification and ap...
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Nouveaux développements en géostatistique minière
This dataset has no description
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Comparison of sliced inverse regression approaches for underdetermined cases
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Optimal scaling for the transient phase of Metropolis Hastings algorithms: th...
42 pages, 6 figures -
The stochastic approximation method for the estimation of a multivariate prob...
28 pages. Version préliminaire (2008) d'un travail publié sous forme définitive (2009) -
Sparsity-Promoting Bayesian Dynamic Linear Models
Sparsity-promoting priors have become increasingly popular over recent years due to an increased number of regression and classification applications involving a large... -
Robust change-point detection for multidimensional signals. Application to co...
The aim of this work is to propose non-parametric change-point detection methods. The main application of such methods is the use of data recorded by a collection of... -
Parallel Tempering with Equi-Energy Moves
The Equi-Energy Sampler (EES) introduced by Kou et al [2006] is based on a population of chains which are updated by local moves and global moves, also called... -
Shift & 2D Rotation Invariant Sparse Coding for Multivariate Signals
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A new approach for merging gene expression datasets
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Book reviews, Summer 2012
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Gaussian Parsimonious Clustering Models Scale Invariant and Stable by Projection
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Fast parallel kriging-based stepwise uncertainty reduction with application t...
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Spatial and temporal hydrological variability of the Mississippi River waters...
Great River watersheds, as the Mississippi River in North America, integrate climate and environmental changes (climate fluctuations, precipitations, streamflow,... -
Applications de la théorie de la décision statistique à l'évaluation de la sé...
International audience
