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On statistical Calderón problems
v1v2v3v4 (latest)

On statistical Calderón problems

8 June 2019
Kweku Abraham
Richard Nickl
ArXiv (abs)PDFHTML

Papers citing "On statistical Calderón problems"

5 / 5 papers shown
Title
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
49
8
0
16 Jul 2023
Sobolev Acceleration and Statistical Optimality for Learning Elliptic
  Equations via Gradient Descent
Sobolev Acceleration and Statistical Optimality for Learning Elliptic Equations via Gradient Descent
Yiping Lu
Jose H. Blanchet
Lexing Ying
107
8
0
15 May 2022
Convergence Rates for Learning Linear Operators from Noisy Data
Convergence Rates for Learning Linear Operators from Noisy Data
Maarten V. de Hoop
Nikola B. Kovachki
Nicholas H. Nelsen
Andrew M. Stuart
182
58
0
27 Aug 2021
Designing truncated priors for direct and inverse Bayesian problems
Designing truncated priors for direct and inverse Bayesian problems
S. Agapiou
Peter Mathé
44
5
0
21 May 2021
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
103
62
0
16 Oct 2019
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