Jean-Bernard Salomond
TitleCited byYear
Conditions for posterior contraction in the sparse normal means problem
SL van der Pas, JB Salomond, J Schmidt-Hieber
Electronic journal of statistics 10 (1), 976-1000, 2016
A general approach to posterior contraction in nonparametric inverse problems
B Knapik, JB Salomond
Bernoulli 24 (3), 2091-2121, 2018
Concentration rate and consistency of the posterior distribution for selected priors under monotonicity constraints
JB Salomond
Electronic Journal of Statistics 8 (1), 1380-1404, 2014
Testing un-separated hypotheses by estimating a distance
JB Salomond
Bayesian Analysis 13 (2), 461-484, 2018
Adaptive Bayes test for monotonicity
JB Salomond
The contribution of young researchers to Bayesian statistics, 29-33, 2014
Risk quantification for the thresholding rule for multiple testing using Gaussian scale mixtures
JB Salomond
arXiv preprint arXiv:1711.08705, 2017
Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models
J Arbel, JB Salomond
Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques
JB Salomond
On some aspects of the asymptotic properties of Bayesian approaches in nonparametric and semiparametric models
J Rousseau, JB Salomond, C Scricciolo
ESAIM: Proceedings 44, 159-171, 2014
SequentialQuasiMonteCarlofor DirichletProcessMixtureModels
JB Salomond
Why shrinking priors shrink?
JB Salomond
The system can't perform the operation now. Try again later.
Articles 1–11