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Random tree Besov priors -- Towards fractal imaging

Random tree Besov priors -- Towards fractal imaging

28 February 2021
Hanne Kekkonen
Matti Lassas
E. Saksman
S. Siltanen
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Papers citing "Random tree Besov priors -- Towards fractal imaging"

4 / 4 papers shown
Title
On strong posterior contraction rates for Besov-Laplace priors in the
  white noise model
On strong posterior contraction rates for Besov-Laplace priors in the white noise model
Emanuele Dolera
Stefano Favaro
Matteo Giordano
26
0
0
11 Nov 2024
Wide stable neural networks: Sample regularity, functional convergence
  and Bayesian inverse problems
Wide stable neural networks: Sample regularity, functional convergence and Bayesian inverse problems
Tomás Soto
40
0
0
04 Jul 2024
Besov-Laplace priors in density estimation: optimal posterior
  contraction rates and adaptation
Besov-Laplace priors in density estimation: optimal posterior contraction rates and adaptation
M. Giordano
21
4
0
30 Aug 2022
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
Laplace priors and spatial inhomogeneity in Bayesian inverse problems
S. Agapiou
Sven Wang
15
13
0
10 Dec 2021
1