Bayesian Inverse Problems
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Published By CRC Press

9781315232973
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Ultrasonic Guided-waves Based Bayesian Damage Localisation and Optimal Sensor Configuration

2021 ◽  
pp. 113-131
Author(s):  
Sergio Cantero-Chinchilla ◽  
Juan Chiachío ◽  
Manuel Chiachío ◽  
Dimitrios Chronopoulos
Keyword(s):  
Guided Waves ◽  
Ultrasonic Guided Waves ◽  
Sensor Configuration

A Worked-out Example of Surrogate-based Bayesian Parameter and Field Identification Methods

2021 ◽  
pp. 155-203
Author(s):  
Noémi Friedman ◽  
Claudia Zoccarato ◽  
Elmar Zander ◽  
Hermann G. Matthies
Keyword(s):  
Identification Methods ◽  
Field Identification

Solving Inverse Problems by Approximate Bayesian Computation

2021 ◽  
pp. 25-37
Author(s):  
Manuel Chiachío-Ruano ◽  
Juan Chiachío-Ruano ◽  
María L. Jalón
Keyword(s):  
Inverse Problems ◽  
Approximate Bayesian Computation ◽  
Bayesian Computation ◽  
Approximate Bayesian

Parameter Identification Based on Conditional Expectation

2021 ◽  
pp. 61-76
Author(s):  
Elmar Zander ◽  
Noémi Friedman ◽  
Hermann G. Matthies
Keyword(s):  
Parameter Identification ◽  
Conditional Expectation

Fast Bayesian Approach for Stochastic Model Updating using Modal Information from Multiple Setups

2021 ◽  
pp. 133-153
Author(s):  
Wang-Ji Yan ◽  
Lambros Katafygiotis ◽  
Costas Papadimitriou
Keyword(s):  
Stochastic Model ◽  
Bayesian Approach ◽  
Model Updating

Fundamentals of Sequential System Monitoring and Prognostics Methods

2021 ◽  
pp. 39-60
Author(s):  
David E. Acuña-Ureta ◽  
Juan Chiachío-Ruano ◽  
Manuel Chiachío-Ruano ◽  
Marcos E. Orchard
Keyword(s):  
System Monitoring ◽  
Sequential System

Introduction to Bayesian Inverse Problems

2021 ◽  
pp. 3-24
Author(s):  
Juan Chiachío-Ruano ◽  
Manuel Chiachío-Ruano ◽  
Shankar Sankararaman
Keyword(s):  
Inverse Problems ◽  
Bayesian Inverse Problems
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