15 citations · 18 across the 5 of their papers we have counts for
6 papers
Multi-level Bayes and MAP monotonicity testing
Yuri Golubev, Christophe Pouet
In this paper, we develop Bayes and maximum a posteriori probability (MAP) approaches to monotonicity testing. In order to simplify this problem, we consider a simple white Gaussia…
Testing means from sampling populations with undefined labels
Florent Autin, Christophe Pouet
We consider the problem of testing means from samples of two populations for which the labels are not defined with certainty. We show that this problem is connected to another one…
Tests on components of density mixtures
Florent Autin, Christophe Pouet
This paper deals with statistical tests on the components of mixture densities. We propose to test whether the densities of two independent samples of independent random variables…
Sparse classification boundaries
Yuri I. Ingster, Christophe Pouet, Alexandre B. Tsybakov
Given a training sample of size from a -dimensional population, we wish to allocate a new observation to this population or to the noise. We suppose that the dif…
Adaptivity in convolution models with partially known noise distribution
Cristina Butucea, Catherine Matias, Christophe Pouet
We consider a semiparametric convolution model. We observe random variables having a distribution given by the convolution of some unknown density and some partially known nois…
Adaptive procedures in convolution models with known or partially known noise distribution
Cristina Butucea, Catherine Matias, Christophe Pouet
In a convolution model, we observe random variables whose distribution is the convolution of some unknown density f and some known or partially known noise density g. In this paper…