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Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An
  Adaptive Approach Considering Surrogate Approximation Error

Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error

10 July 2018
Jiangjiang Zhang
Q. Zheng
Dingjiang Chen
Laosheng Wu
L. Zeng
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Papers citing "Surrogate-Based Bayesian Inverse Modeling of the Hydrological System: An Adaptive Approach Considering Surrogate Approximation Error"

3 / 3 papers shown
Title
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Uncertainty Quantification and Propagation in Surrogate-based Bayesian Inference
Philipp Reiser
Javier Enrique Aguilar
A. Guthke
Paul-Christian Bürkner
36
2
0
08 Dec 2023
A new framework for experimental design using Bayesian Evidential
  Learning: the case of wellhead protection area
A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area
Robin Thibaut
E. Laloy
T. Hermans
11
21
0
12 May 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1