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Designing truncated priors for direct and inverse Bayesian problems
v1v2 (latest)

Designing truncated priors for direct and inverse Bayesian problems

21 May 2021
S. Agapiou
Peter Mathé
ArXiv (abs)PDFHTML

Papers citing "Designing truncated priors for direct and inverse Bayesian problems"

2 / 2 papers shown
Title
Statistical inverse learning problems with random observations
Statistical inverse learning problems with random observations
Abhishake
T. Helin
Nicole Mucke
66
1
0
23 Dec 2023
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
1