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Sampling of Bayesian posteriors with a non-Gaussian probabilistic
  learning on manifolds from a small dataset

Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset

28 October 2019
Christian Soize
R. Ghanem
ArXivPDFHTML

Papers citing "Sampling of Bayesian posteriors with a non-Gaussian probabilistic learning on manifolds from a small dataset"

3 / 3 papers shown
Title
Probabilistic learning constrained by realizations using a weak
  formulation of Fourier transform of probability measures
Probabilistic learning constrained by realizations using a weak formulation of Fourier transform of probability measures
Christian Soize
10
5
0
06 May 2022
Probabilistic learning on manifolds constrained by nonlinear partial
  differential equations for small datasets
Probabilistic learning on manifolds constrained by nonlinear partial differential equations for small datasets
Christian Soize
R. Ghanem
AI4CE
9
26
0
27 Oct 2020
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1