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Spectral likelihood expansions for Bayesian inference

Spectral likelihood expansions for Bayesian inference

24 June 2015
J. Nagel
Bruno Sudret
ArXivPDFHTML

Papers citing "Spectral likelihood expansions for Bayesian inference"

6 / 6 papers shown
Title
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional
  analytic approach to estimating probability densities
Orthogonal Polynomials Approximation Algorithm (OPAA):a functional analytic approach to estimating probability densities
Lilian W. Bialokozowicz
TPM
28
0
0
16 Nov 2022
Bayesian model inversion using stochastic spectral embedding
Bayesian model inversion using stochastic spectral embedding
Paul Wagner
S. Marelli
Bruno Sudret
25
14
0
15 May 2020
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
Christian Soize
R. Ghanem
27
18
0
28 Oct 2019
Principal component analysis and sparse polynomial chaos expansions for
  global sensitivity analysis and model calibration: application to urban
  drainage simulation
Principal component analysis and sparse polynomial chaos expansions for global sensitivity analysis and model calibration: application to urban drainage simulation
J. Nagel
J. Rieckermann
Bruno Sudret
6
63
0
11 Sep 2017
Goal-oriented optimal approximations of Bayesian linear inverse problems
Goal-oriented optimal approximations of Bayesian linear inverse problems
Alessio Spantini
Tiangang Cui
Karen E. Willcox
L. Tenorio
Youssef Marzouk
23
33
0
07 Jul 2016
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
187
3,267
0
09 Jun 2012
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