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Convergence Rates for the Maximum A Posteriori Estimator in PDE-Regression Models with Random Design

Convergence Rates for the Maximum A Posteriori Estimator in PDE-Regression Models with Random Design

Maximilian Siebel
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Papers citing "Convergence Rates for the Maximum A Posteriori Estimator in PDE-Regression Models with Random Design"

7 / 7 papers shown
Title
Bayesian Nonparametric Inference in McKean-Vlasov models
Bayesian Nonparametric Inference in McKean-Vlasov models
Richard Nickl
G. Pavliotis
Kolyan Ray
36
5
0
25 Apr 2024
On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations
Richard Nickl
E. Titi
20
7
0
16 Jul 2023
Estimation for the reaction term in semi-linear SPDEs under small diffusivity
Estimation for the reaction term in semi-linear SPDEs under small diffusivity
Sascha Gaudlitz
M. Reiß
47
18
0
20 Mar 2022
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms
On polynomial-time computation of high-dimensional posterior measures by Langevin-type algorithms
Richard Nickl
Sven Wang
39
40
0
11 Sep 2020
Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
Statistical guarantees for Bayesian uncertainty quantification in non-linear inverse problems with Gaussian process priors
F. Monard
Richard Nickl
G. Paternain
46
35
0
31 Jul 2020
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
Consistency of Bayesian inference with Gaussian process priors in an elliptic inverse problem
M. Giordano
Richard Nickl
68
60
0
16 Oct 2019
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Convergence rates for Penalised Least Squares Estimators in PDE-constrained regression problems
Richard Nickl
Sara van de Geer
Sven Wang
35
60
0
24 Sep 2018

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