Simple discrete-time self-exciting models can describe complex dynamic processes: A case study of COVID-19 von Browning, Raiha, Sulem, Deborah, Mengersen, Kerrie, Rivoirard, Vincent, Rousseau, Judith

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Overfitting Bayesian Mixture Models with an Unknown Number of Components von van Havre, Zoé, White, Nicole, Rousseau, Judith, Mengersen, Kerrie

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Relevant statistics for Bayesian model choice von Marin, Jean‐Michel, Pillai, Natesh S, Robert, Christian P, Rousseau, Judith

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How Principled and Practical Are Penalised Complexity Priors? von Robert, Christian P., Rousseau, Judith

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Asymptotic behaviour of the posterior distribution in overfitted mixture models von Rousseau, Judith, Mengersen, Kerrie

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ASYMPTOTIC BEHAVIOUR OF THE EMPIRICAL BAYES POSTERIORS ASSOCIATED TO MAXIMUM MARGINAL LIKELIHOOD ESTIMATOR von Rousseau, Judith, Szabo, Botond

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Wasserstein convergence in Bayesian and frequentist deconvolution models von Rousseau, Judith, Scricciolo, Catia

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Nonparametric Bayesian Clay for Robust Decision Bricks von Robert, Christian P., Rousseau, Judith

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A special issue on Bayesian Inference: Challenges, Perspective, and Prospects von Robert, Christian, Rousseau, Judith

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ASYMPTOTIC FREQUENTIST COVERAGE PROPERTIES OF BAYESIAN CREDIBLE SETS FOR SIEVE PRIORS von Rousseau, Judith, Szabo, Botond

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Combining Expert Opinions in Prior Elicitation von Albert, Isabelle, Donnet, Sophie, Guihenneuc-Jouyaux, Chantal, Low-Choy, Samantha, Mengersen, Kerrie, Rousseau, Judith

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RATES OF CONVERGENCE FOR THE POSTERIOR DISTRIBUTIONS OF MIXTURES OF BETAS AND ADAPTIVE NONPARAMETRIC ESTIMATION OF THE DENSITY von Rousseau, Judith

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BERNSTEIN-VON MISES THEOREM FOR LINEAR FUNCTIONALS OF THE DENSITY von Rivoirard, Vincent, Rousseau, Judith

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On the Frequentist Properties of Bayesian Nonparametric Methods von Rousseau, Judith

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A BERNSTEIN-VON MISES THEOREM FOR SMOOTH FUNCTIONALS IN SEMIPARAMETRIC MODELS von Castillo, Ismaël, Rousseau, Judith

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Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models von Moss, Daniel, Rousseau, Judith

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NONPARAMETRIC BAYESIAN ESTIMATION FOR MULTIVARIATE HAWKES PROCESSES von Donnet, Sophie, Rivoirard, Vincent, Rousseau, Judith

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Ideal Bayesian Spatial Adaptation von Ročková, Veronika, Rousseau, Judith

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ASYMPTOTIC THEORY FOR MAXIMUM LIKELIHOOD ESTIMATION OF THE MEMORY PARAMETER IN STATIONARY GAUSSIAN PROCESSES von Lieberman, Offer, Rosemarin, Roy, Rousseau, Judith

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ON ADAPTIVE POSTERIOR CONCENTRATION RATES von Hoffmann, Marc, Rousseau, Judith, Schmidt-Hieber, Johannes

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