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

16 July 2023

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

7 / 7 papers shown

Title
Forecasting time series with constraints Nathan Doumèche Francis Bach Éloi Bedek Gérard Biau Claire Boyer Y. Goude AI4TS 45 0 0 14 Feb 2025
Convergence Rates for the Maximum A Posteriori Estimator in PDE-Regression Models with Random Design Maximilian Siebel 27 0 0 05 Sep 2024
Bayesian Nonparametric Inference in McKean-Vlasov models Richard Nickl G. Pavliotis Kolyan Ray 21 5 0 25 Apr 2024
Distribution learning via neural differential equations: a nonparametric statistical perspective Youssef Marzouk Zhi Ren Sven Wang Jakob Zech 29 11 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 22 4 0 19 Apr 2023
Consistent inference for diffusions from low frequency measurements Richard Nickl 27 5 0 24 Oct 2022
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem M. Giordano Richard Nickl 29 57 0 16 Oct 2019