@inproceedings{dc40c68f09de4cdc86ca6c1503cff3e1,
title = "Bayesian Methods for Geotechnical Applications-A Practical Guide",
abstract = "Bayes' theorem provides a basis for merging information from various sources, which may lead to uncertainty reduction. The application of Bayesian methods in geotechnical engineering, however, is often hindered by the required computational skills. This paper introduces five computational techniques for Bayesian inference, and illustrates them in detail with geotechnical examples. Detailed formulations of these techniques and source codes for implementing them are provided herein so that interested readers can get hand-on experiences applying these techniques. Four real-world examples are provided to illustrate how the Bayesian methods can be applied in geotechnical practice. A possible misuse of the Bayesian methods in geotechnical engineering is also discussed.",
author = "Juang, {C. Hsein} and Jie Zhang",
note = "Publisher Copyright: {\textcopyright} 2017 ASCE.; Geotechnical Safety and Reliability: Honoring Wilson H. Tang ; Conference date: 04-06-2017 Through 07-06-2017",
year = "2017",
doi = "10.1061/9780784480731.019",
language = "???core.languages.en_GB???",
series = "Geotechnical Special Publication",
publisher = "American Society of Civil Engineers (ASCE)",
number = "GSP 286",
pages = "215--246",
editor = "Juang, {C. Hsein} and Gilbert, {Robert B.} and Limin Zhang and Jie Zhang and Lulu Zhang",
booktitle = "Geotechnical Special Publication",
edition = "GSP 286",
}