A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input (Q6631071)

scientific article; zbMATH DE number 7937198

Language	Label	Description	Also known as
English	A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input	scientific article; zbMATH DE number 7937198

Statements

instance of

scholarly article

0 references

title

A Gaussian Process Emulator Based Approach for Bayesian Calibration of a Functional Input (English)

0 references

author

Zhao-Hui Li

0 references

Matthias Hwai Yong Tan

0 references

published in

Technometrics

0 references

publication date

31 October 2024

0 references

MaRDI profile type

Publication

0 references

cites work

Analysis of the Gibbs Sampler for Hierarchical Inverse Problems

0 references

Nonparametric functional calibration of computer models

0 references

Low-Rank Independence Samplers in Hierarchical Bayesian Inverse Problems

0 references

Adaptive Numerical Designs for the Calibration of Computer Codes

0 references

MAP estimators and their consistency in Bayesian nonparametric inverse problems

0 references

On Some Characteristics of Gaussian Covariance Functions

0 references

Sequential Design for Functional Calibration of Computer Models

0 references

Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations

0 references

Combining Field Data and Computer Simulations for Calibration and Prediction

0 references

Statistical and computational inverse problems.

0 references

Bayesian Calibration of Computer Models

0 references

Uncertainty updating in the description of coupled heat and moisture transport in heterogeneous materials

0 references

Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian inverse problems

0 references

Spectral Methods for Uncertainty Quantification

0 references

A note on the Karhunen-Loève expansions for infinite-dimensional Bayesian inverse problems

0 references

Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems

0 references

Modularization in Bayesian analysis, with emphasis on analysis of computer models

0 references

An Introduction to Computational Stochastic PDEs

0 references

Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems

0 references

Linear and Nonlinear Inverse Problems with Practical Applications

0 references

Default priors for Gaussioan processes

0 references

Follow-up experimental designs for computer models and physical processes

0 references

Hyperpriors for Matérn fields with applications in Bayesian inversion

0 references

Whittle-Matérn priors for Bayesian statistical inversion with applications in electrical impedance tomography

0 references

A hierarchical Bayesian setting for an inverse problem in linear parabolic PDEs with noisy boundary conditions

0 references

Design and analysis of computer experiments. With comments and a rejoinder by the authors

0 references

The design and analysis of computer experiments

0 references

Sequential Design of Computer Experiments for the Solution of Bayesian Inverse Problems

0 references

Partial Differential Equations and the Finite Element Method

0 references

Coordinate transformation and polynomial chaos for the Bayesian inference of a Gaussian process with parametrized prior covariance function

0 references

Inverse problems: A Bayesian perspective

0 references

A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models

0 references

Gaussian Process Modeling of a Functional Output with Information from Boundary and Initial Conditions and Analytical Approximations

0 references

Gaussian Process Modeling of Finite Element Models with Functional Inputs

0 references

A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties

0 references

Efficient calibration for imperfect computer models

0 references

Bayesian inference of random fields represented with the Karhunen-Loève expansion

0 references

Multivariate output analysis for Markov chain Monte Carlo

0 references

Solving optimization problems with MATLAB

0 references

A new numerical method for the inverse source problem from a Bayesian perspective

0 references

Bayesian and variational Bayesian approaches for flows in heterogeneous random media

0 references

Identifiers

DOI

10.1080/00401706.2021.1971567

0 references

Mathematics Subject Classification ID

62Pxx

0 references

zbMATH DE Number

7937198

0 references

Sitelinks

Mathematics(1 entry)

mardi Publication:6631071