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Bayesian Machine Learning in Geotechnical Site Characterization
by Jianye Ching
Other Available Formats
Overview
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.
This item is Non-Returnable
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Details
- ISBN-13: 9781032314433
- ISBN-10: 1032314435
- Publisher: CRC Press
- Publish Date: December 2025
- Dimensions: 9.21 x 6.14 x 0.4 inches
- Shipping Weight: 0.6 pounds
- Page Count: 176
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