Pré-publications

1. Bo NING et Ismael CASTILLO. Bayesian multiscale analysis of the Cox model. Soumis, 2022. Arxiv e-prints 2205.12489, 82p.

2. Ismael CASTILLO et Thibault RANDRIANARISOA. Optional Polya trees: posterior rates and uncertainty quantification. Soumis, 2021. Arxiv e-prints 2110.05265, 40p.

3. Kweku ABRAHAM, Ismael CASTILLO et Étienne ROQUAIN, Sharp multiple testing boundary for sparse sequences. Soumis, 2021. Arxiv e-prints 2109.13601, 59p.

Articles parus

1. Kweku ABRAHAM, Ismael CASTILLO et Elisabeth GASSIAT, Multiple testing in Nonparametric Hidden Markov models: an Empirical Bayes approach, Journal of Machine Learning Research, (2022), à paraître.

2. Neil DEO et Thibault RANDRIANARISOA, On adaptive confidence sets for the Wasserstein Distances, Bernoulli (2022), à paraître.

3. Tabea REBAFKA, Etienne ROQUAIN et Fanny VILLERS. Powerful multiple testing of paired null hypotheses using a latent graph model. Electronic Journal of Statistics, Volume 16, 2, (2022), 2796--2858.

4. Ismael CASTILLO et Peter ORBANZ, Uniform estimation in Stochastic Block Models is slow. Electronic Journal of Statistics, Volume 16, 1, (2022), 2947--3000

5. Kweku ABRAHAM, Ismael CASTILLO et Étienne ROQUAIN, Empirical Bayes cumulative ℓ-value multiple testing procedure for sparse sequences. Electronic Journal of Statistics, Volume 16, 1, (2022), 2033-2081

6. Thibault RANDRIANARISOA. Smoothing and adaptation of shifted Polya Tree ensembles. Bernoulli, Volume 22, Numéro 4 (2022), 2492-2517.

7. Ismael CASTILLO et Stéphanie van der PAS. Multiscale Bayesian survival analysis. Annals of Statistics, Volume 49 (2021), 3559-3582

8. Ismael CASTILLO et Veronika ROCKOVA. Uncertainty quantification for Bayesian CART. Annals of Statistics, Volume 49 (2021), 3482-3509

9. Ismael CASTILLO, Sayantan BANERJEE et Subhashis GHOSAL. Survey paper: Bayesian inference in high-dimensional models. Springer volume on Data Science, (2021), à paraître, preprint.

10. Ismael CASTILLO et Romain MISMER. Spike and Slab Pólya tree posterior distributions: adaptive inference. Annales de l'Institut Henri Poincaré, Volume 57 (2021), no. 3, 1521-1548.

11. Alexandra CARPENTIER, Sylvain DELATTRE, Nicolas VERZELEN et Étienne ROQUAIN. Estimating minimum effect with outlier selection. Annals of Statistics, Volume 49 (2021), 272--294.

12. Yannick BARAUD et Lucien BIRGÉ. Robust Bayes-Like estimation: Rho-Bayes estimation. Annals of Statistics Volume 48 (2020), 3699--3720.

13. Ismael CASTILLO et Étienne ROQUAIN, On spike and slab empirical Bayes multiple testing. Annals of Statistics, Volume 48 (2020), 2548-2574

14. Ismael CASTILLO et Botond SZABÓ, Spike and slab empirical Bayes sparse credible sets. Bernoulli, Volume 26, Numéro 1 (2020), 127-158.

15. Guillermo DURAND, Gilles BLANCHARD, Pierre NEUVIAL et Étienne ROQUAIN. Post hoc false positive control for spatially structured hypotheses. Scandinavian Journal of Statistics 47 (2020), 1114-1148.

16. Aurélie FISCHER et Dominique PICARD. On change-point estimation under Sobolev sparsity. Electronic Journal of Statistics, Volume 14 (2020) 1648--1689.

17. Gilles BLANCHARD, Pierre NEUVIAL et Étienne ROQUAIN. Post hoc confidence bounds on false positives using reference families. Annals of Statistics, Volume 48 (2020), 1281--1303.

18. Galatia CLEANTHOUS, Anthonis GEORGIADIS, Gérard KERKYACHARIAN, Pensho PETRUSHEV et Dominique PICARD. Kernel and wavelet density estimators on manifolds and more general metric spaces. Bernoulli, Volume 26 (2020), 1832--1862.

19. Lucien BIRGÉ. About the discretized Maximum Likelihood Estimator. SMF S\'eminaires et Congrès 33 (2019), 355--373.

20. Léa LONGEPIERRE et Catherine MATIAS. Consistency of the maximum likelihood and variational estimators in a dynamic stochastic block model. Electronic Journal of Statistics, Volume 13, Number 2 (2019), 4157-4223.

21. Ismael CASTILLO et Romain MISMER, Empirical Bayes analysis of spike and slab posterior distributions. Electronic Journal of Statistics, Volume 12, Number 2 (2018), 3953-4001.