Judith Rousseau
University of Oxford
H-index: 33
Europe-United Kingdom
Top articles of Judith Rousseau
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Empirical Bayes in Bayesian learning: understanding a common practice | arXiv preprint arXiv:2402.19036 | Stefano Rizzelli Judith Rousseau Sonia Petrone | 2024/2/29 |
Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds | Paul Rosa Viacheslav Borovitskiy Alexander Terenin Judith Rousseau | 2023/9/19 | |
Bayesian estimation of nonlinear Hawkes processes | Bernoulli | Deborah Sulem Vincent Rivoirard Judith Rousseau | 2024/5 |
Asymptotics of approximate Bayesian computation when summary statistics converge at heterogeneous rates | arXiv preprint arXiv:2311.10080 | Caroline Lawless Christian P Robert Judith Rousseau Robin J Ryder | 2023/11/16 |
Wasserstein convergence in Bayesian and frequentist deconvolution models | arXiv preprint arXiv:2309.15300 | Judith Rousseau Catia Scricciolo | 2023/9/26 |
Semiparametric posterior corrections | arXiv preprint arXiv:2306.06059 | Andrew Yiu Edwin Fong Chris Holmes Judith Rousseau | 2023/6/9 |
Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes | arXiv preprint arXiv:2312.14073 | Matteo Giordano Alisa Kirichenko Judith Rousseau | 2023/12/21 |
A special issue on Bayesian inference: challenges, perspectives and prospects | Christian P Robert Judith Rousseau | 2023/5/15 | |
Ideal Bayesian spatial adaptation | Journal of the American Statistical Association | Veronika Ročková Judith Rousseau | 2023/12/7 |
On sparsity, power-law, and clustering properties of graphex processes | Advances in Applied Probability, to appear | François Caron Francesca Panero Judith Rousseau | 2023 |
Distributional properties of Bayesian neural networks | Mariia Vladimirova | 2022/3/22 | |
Bayesian nonparametrics for sparse dynamic networks | Cian Naik Francois Caron Judith Rousseau Yee Whye Teh Konstantina Palla | 2022/9 | |
The curse of depth in kernel regime | Soufiane Hayou Arnaud Doucet Judith Rousseau | 2022/2/11 | |
Foundations of Bayesian Inference for Complex Statistical Models | Oberwolfach Reports | Richard Nickl Judith Rousseau Aad van der Vaart | 2022/8/24 |
A flexible, random histogram kernel for discrete-time Hawkes processes | arXiv preprint arXiv:2208.02921 | Raiha Browning Judith Rousseau Kerrie Mengersen | 2022/8/4 |
Estimating a density near an unknown manifold: a Bayesian nonparametric approach | arXiv preprint arXiv:2205.15717 | Clément Berenfeld Paul Rosa Judith Rousseau | 2022/5/31 |
Fast Bayesian coresets via subsampling and quasi-Newton refinement | Advances in Neural Information Processing Systems | Cian Naik Judith Rousseau Trevor Campbell | 2022/12/6 |
Evidence estimation in finite and infinite mixture models and applications | arXiv preprint arXiv:2205.05416 | Adrien Hairault Christian P Robert Judith Rousseau | 2022/5/11 |
Scalable and adaptive variational Bayes methods for Hawkes processes | arXiv preprint arXiv:2212.00293 | Deborah Sulem Vincent Rivoirard Judith Rousseau | 2022/12/1 |
Introducing prior information in weighted likelihood bootstrap with applications to model misspecification | arXiv preprint arXiv:2103.14445 | Emilia Pompe | 2021/3/26 |
