Conditions for posterior contraction in the sparse normal means problem SL Van Der Pas, JB Salomond, J Schmidt-Hieber | 72 | 2016 |
A general approach to posterior contraction in nonparametric inverse problems B Knapik, JB Salomond Bernoulli 24 (3), 2091-2121, 2018 | 45 | 2018 |
Concentration rate and consistency of the posterior distribution for selected priors under monotonicity constraints JB Salomond | 27 | 2014 |
Testing un-separated hypotheses by estimating a distance JB Salomond | 17* | 2018 |
Adaptive Bayes test for monotonicity JB Salomond The Contribution of Young Researchers to Bayesian Statistics: Proceedings of …, 2014 | 17 | 2014 |
Risk quantification for the thresholding rule for multiple testing using Gaussian scale mixtures JB Salomond arXiv preprint arXiv:1711.08705, 2017 | 7 | 2017 |
Sequential Quasi Monte Carlo for Dirichlet Process Mixture Models J Arbel, JB Salomond NIPS-Conference on Neural Information Processing Systems, 2016 | 2 | 2016 |
Propriétés fréquentistes des méthodes Bayésiennes semi-paramétriques et non paramétriques JB Salomond Université Paris Dauphine-Paris IX, 2014 | 1 | 2014 |
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 | 1 | 2014 |