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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"

8 / 8 papers shown
Polynomial rates via deconvolution for nonparametric estimation in
  McKean-Vlasov SDEs
Polynomial rates via deconvolution for nonparametric estimation in McKean-Vlasov SDEsProbability theory and related fields (PTRF), 2024
Chiara Amorino
Denis Belomestny
Vytaut.e Pilipauskait.e
M. Podolskij
Shi-Yuan Zhou
254
17
0
09 Jan 2024
Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse
  Problems
Deep Gaussian Process Priors for Bayesian Inference in Nonlinear Inverse Problems
Kweku Abraham
Neil Deo
188
5
0
21 Dec 2023
Stability and Statistical Inversion of Travel time Tomography
Stability and Statistical Inversion of Travel time TomographyInverse Problems (IP), 2023
Ashwin Tarikere
Hanming Zhou
231
1
0
22 Sep 2023
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 equationsAnnals of Statistics (Ann. Stat.), 2023
Richard Nickl
E. Titi
335
14
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 DescentNeural Information Processing Systems (NeurIPS), 2022
Yiping Lu
Jose H. Blanchet
Lexing Ying
420
11
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
439
68
0
27 Aug 2021
Designing truncated priors for direct and inverse Bayesian problems
Designing truncated priors for direct and inverse Bayesian problemsElectronic Journal of Statistics (EJS), 2021
S. Agapiou
Peter Mathé
410
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 problemInverse Problems (IP), 2019
M. Giordano
Richard Nickl
347
71
0
16 Oct 2019
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