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Estimating a density near an unknown manifold: A Bayesian nonparametric approach

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation

Project: GTBB

Updated at: 01-12-2025

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Wasserstein convergence in Bayesian and frequentist deconvolution models

Project: GTBB

Updated at: 01-12-2025

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Convergence of Diffusion Models Under the Manifold Hypothesis in High-Dimensions

Project: GTBB

Updated at: 01-12-2025

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Bayesian methods for statistical network analysis and data subsamplingAbstract:

Project: GTBB

Updated at: 01-12-2025

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Nonparametric regression on random geometric graphs sampled from submanifolds

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Power-law phenomena in Bayesian nonparametrics

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Advances in Bayesian asymptotics and Bayesian nonparametrics

Project: GTBB

Updated at: 01-12-2025

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Flexible estimation of temporal point processes and graphs

Project: GTBB

Updated at: 01-12-2025

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Bayesian modelling of dependent data

Project: GTBB

Updated at: 01-12-2025

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Efficient Bayesian estimation and use of cut posterior in semiparametric hidden Markov models

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Gaussian Pre-Activations in Neural Networks: Myth or Reality?

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Minimax rates without the fixed sample size assumption

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Bayesian nonparametric estimation under the manifold hypothesis

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Asymptotic analysis of statistical estimators related to MultiGraphex processes under misspecification

Project: GTBB

Updated at: 01-12-2025

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Semiparametric posterior corrections

Project: GTBB

Updated at: 01-12-2025

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Contributions à la sélection bayésienne des modèles de mélange finis et infinis avec une application au calcul dist...

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

Empirical Bayes in Bayesian learning: understanding a common practice

Project: GTBB

Updated at: 01-12-2025

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Project acronym GTBB

The Bernstein-von Mises theorem for Semiparametric Mixtures

Project: GTBB

Updated at: 01-12-2025

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Bayesian estimation of nonlinearHawkes process

Project: GTBB

Updated at: 01-02-2025

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Fast Bayesian Coresets via Subsampling and Quasi-Newton Refinement

Project: GTBB

Updated at: 01-02-2025

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Project acronym GTBB

On sparsity, power-law and clustering properties of graphex processes

Project: GTBB

Updated at: 01-02-2025

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Posterior Contraction Rates for Matérn Gaussian Processes on Riemannian Manifolds

Project: GTBB

Updated at: 01-02-2025

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Asymptotics of approximate Bayesian computation when summary statistics converge at heterogeneous rates

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Updated at: 01-02-2025

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Ideal Bayesian Spatial Adaptation

Project: GTBB

Updated at: 01-02-2025

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Nonparametric Bayesian intensity estimation for covariate-driven inhomogeneous point processes

Project: GTBB

Updated at: 01-02-2025

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Project acronym GTBB

Periodic Reporting for period 3 - GTBB (General theory for Big Bayes)

Project: GTBB

Updated at: 01-02-2025

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Scalable and adaptive variational Bayes methods for Hawkes processes

Project: GTBB

Updated at: 01-02-2025

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Project acronym GTBB

Mean-field Behaviour of Neural Tangent Kernel for Deep Neural Networks

Project: GTBB

Updated at: 27-04-2024

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Safe-Bayesian Generalized Linear Regression

Project: GTBB

Updated at: 27-04-2024

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