JianyeChing
Bayesian Machine Learning in Geotechnical Site Characterization
Bayesian Machine Learning in Geotechnical Site Characterization
💎 Earn 363 Points (£3.63) on this item.
We can order this item for you. Delivery usually takes about 4 to 6 weeks.
This item is not held in our immediate stock. We will order it for you after checkout.
Estimated delivery: About 4 to 6 weeks
YOU SAVE £4.31
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £3.89. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Bayesian Machine Learning in Geotechnical Site Characterization
Format: Paperback / softback
Length: 176 pages
Publication date: 26 December 2025
Publisher: Taylor & Francis Ltd
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.
Weight: 350g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032314433
UK and International shipping information
UK and International shipping information
We deliver throughout the United Kingdom and to 128 countries and territories worldwide, including the United States, Australia, Canada, Germany, Spain and France.
