Judith Rousseau

26 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-0998-6174

CEREMADE, Université Paris Dauphine and Department of Statistics, University of Oxford

Publications

• Nonparametric Regression on Random Geometric Graphs Sampled from Submanifolds — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Semiparametric posterior corrections — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
• Scalable and Adaptive Variational Bayes Methods for Hawkes Processes — Journal of Machine Learning Research 2025 (name-matched, not ORCID-linked)
• Estimating a density near an unknown manifold: A Bayesian nonparametric approach — The Annals of Statistics 2024
• Ideal Bayesian Spatial Adaptation — Journal of the American Statistical Association 2024
• Wasserstein convergence in Bayesian and frequentist deconvolution models — The Annals of Statistics 2024
• Asymptotic frequentist coverage properties of Bayesian credible sets for sieve priors — The Annals of Statistics 2020
• Model misspecification in approximate Bayesian computation: consequences and diagnostics — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
• Nonparametric Bayesian estimation for multivariate Hawkes processes — The Annals of Statistics 2020
• Asymptotic behaviour of the empirical Bayes posteriors associated to maximum marginal likelihood estimator — The Annals of Statistics 2017
• Bayesian nonparametric dependent model for partially replicated data: The influence of fuel spills on species diversity — The Annals of Applied Statistics 2016
• A Bernstein–von Mises theorem for smooth functionals in semiparametric models — The Annals of Statistics 2015
• On adaptive posterior concentration rates — The Annals of Statistics 2015
• Bayes and empirical Bayes: do they merge? — Biometrika 2014
• Using informative priors in the estimation of mixtures over time with application to aerosol particle size distributions — The Annals of Applied Statistics 2014
• Relevant statistics for Bayesian model choice — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2014
• Bayesian nonparametric estimation of the spectral density of a long or intermediate memory Gaussian process — The Annals of Statistics 2012
• Bernstein–von Mises theorem for linear functionals of the density — The Annals of Statistics 2012
• Asymptotic behaviour of the posterior distribution in overfitted mixture models — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2011
• Rates of convergence for the posterior distributions of mixtures of Betas and adaptive nonparametric estimation of the density — The Annals of Statistics 2010
• Bounds for Bayesian order identification with application to mixtures — The Annals of Statistics 2008
• Studentization and deriving accurate p-values — Biometrika 2008
• Probability Matching Priors: Higher Order Asymptotics — Journal of the American Statistical Association 2006
• Optimal Sample Size for Multiple Testing — Journal of the American Statistical Association 2004
• Valid asymptotic expansions for the maximum likelihood estimator of the parameter of a stationary, Gaussian, strongly dependent process — The Annals of Statistics 2003 (name-matched, not ORCID-linked)
• Empirical Bayes in Bayesian learning: understanding a common practice — Journal of the American Statistical Association (name-matched, not ORCID-linked)