Bayesian Machine Learning in Geotechnical Site Characterization
Author:   Jianye Ching (National Taiwan University, Taipei)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032314433


Pages:   176
Publication Date:   26 December 2025
Format:   Paperback
Availability:   Not yet available   Availability explained
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Bayesian Machine Learning in Geotechnical Site Characterization


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Full Product Details

Author:   Jianye Ching (National Taiwan University, Taipei)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9781032314433


ISBN 10:   1032314435
Pages:   176
Publication Date:   26 December 2025
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available   Availability explained
This item is yet to be released. You can pre-order this item and we will dispatch it to you upon its release.

Table of Contents

1. Bayesian Approach. 2. Review of Probability and Models. 3. Bayesian Parameter Estimation and Prediction. 4. Geotechnical Data and Bayesian Modeling. 5. Full-scale Real Case Study.

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Author Information

Jianye Ching is Distinguished Professor at National Taiwan University and Convener of the Civil & Hydraulic Engineering Program of the Ministry of Science and Technology of Taiwan. He is Chair of ISSMGE‘s TC304 (risk), Chair of Geotechnical Safety Network (GEOSNet), and Managing Editor of the journal Georisk.

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