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Signal norm testing in additive and independant standard Gaussian noise
This paper addresses signal norm testing (SNT), that is, the problem of deciding whether a random signal norm exceeds some specified value τ > 0 or not, when the... -
One for All and All for One: Regression Checks With Many Regressors
International audience -
Star wars: The empirics strike back
Journals favor rejections of the null hypothesis. This selection upon results may distort the behavior of researchers. Using 50,000 tests published between 2005 and... -
Bootstrap Testing of the Rank of a Matrix via Least Squared Constrained Estim...
International audience -
Statistical inference in a high-dimensional spiked population model
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... -
Application of random matrix theory to future wireless flexible networks.
Future cognitive radio networks are expected to come as a disruptive technological advance in the currently saturated field of wireless communications. The idea behind... -
Hypothesis testing for the genetic background of quantitative traits
International audience -
Bayes factors for detection of Quantitative Trait Loci
International audience -
Asymptotic Linear Spectral Statistics for Spiked Hermitian Random Matrix Models
Using the Coulomb Fluid method, this paper derives central limit theorems (CLTs) for linear spectral statistics of three ''spiked'' Hermitian random matrix ensembles.... -
Smooth minimum distance estimation and testing with conditional estimating eq...
International audience -
Statistical analysis of regulatory ecotoxicity tests
[Departement_IRSTEA]GMA [TR1_IRSTEA]12 - MILEAU / EXPER -
Spurious regressions and near-multicollinearity, with an application to aid, ...
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Convex set detection
We address the problem of one dimensional segment detection and estimation, in a regression setup. At each point of a fixed or random design, one observes whether that... -
Un modèle d'accord entre observateurs sur une échelle nominale
International audience -
Statistical modeling of maternal and neonatal mortality for help in planning ...
The aim of this thesis is to design a supervised statistical learning methodology that can overcome the weakness of standard methods when the prior distribution of the...
