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Bayesian Machine Learning in Geotechnical Site Characterization - Paperback
Bayesian Machine Learning in Geotechnical Site Characterization - Paperback
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by Jianye Ching (Author)
This presents recent advancements in probabilistic geotechnical site characterization. It reviews probability theories and models for cross correlation and spatial correlation, and presents methods for Bayesian parameter estimation and prediction. Use of these methods is demonstrated with geotechnical site characterization examples.
Author Biography
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.
Number of Pages: 176
Dimensions: 0.4 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: December 26, 2025
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