On posterior consistency of data assimilation with Gaussian process
priors: the 2D Navier-Stokes equations

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On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations

16 July 2023

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Papers citing "On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations"

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Title
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 203 0 0 14 Feb 2025
Convergence Rates for the Maximum A Posteriori Estimator in PDE-Regression Models with Random Design Maximilian Siebel 51 1 0 05 Sep 2024
Bayesian Nonparametric Inference in McKean-Vlasov models Richard Nickl G. Pavliotis Kolyan Ray 42 5 0 25 Apr 2024
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 87 12 0 03 Sep 2023
Analysis of a Computational Framework for Bayesian Inverse Problems: Ensemble Kalman Updates and MAP Estimators Under Mesh Refinement D. Sanz-Alonso Nathan Waniorek 83 5 0 19 Apr 2023
Consistent inference for diffusions from low frequency measurements Richard Nickl 59 8 0 24 Oct 2022