Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging-Reference-Cited by-同舟云学术

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Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating, Model Class Selection, and Model Averaging

Published:2007-07 Issue:7 Volume:133 Page:816-832
ISSN:0733-9399
Container-title:Journal of Engineering Mechanics
language:en
Short-container-title:J. Eng. Mech.

Author:

Ching Jianye¹²,Chen Yi-Chu¹²

Affiliation:

1. Assistant Professor, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, Taiwan. E-mail: jyching@gmail.com

2. Ph.D. Student, Dept. of Construction Engineering, National Taiwan Univ. of Science and Technology, Taiwan. E-mail: yiejue@gmail.com

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Mechanics of Materials

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%290733-9399%282007%29133%3A7%28816%29

Reference19 articles.

1. Important sampling in high dimensions

2. Bayesian Updating of Structural Models and Reliability using Markov Chain Monte Carlo Simulation

3. Monitoring Structural Health Using a Probabilistic Measure

4. Updating Models and Their Uncertainties. I: Bayesian Statistical Framework

5. Model Selection Using Response Measurements: Bayesian Probabilistic Approach

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