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    A Bayesian Vine Algorithm for Geotechnical Site Characterization Using High Dimensional, Multivariate, Limited, and Missing Data 

    Source: Journal of Engineering Mechanics:;2024:;Volume ( 150 ):;issue: 007:;page 04024042-1
    Author(s): Atma Sharma; Jie Zhang; Giovanni Spagnoli
    Publisher: American Society of Civil Engineers
    Abstract: Geotechnical site characterization using multivariate, limited (sparse), and missing (incomplete) data is an important but challenging task, particularly in high dimensions. Toward this problem, this study proposes a ...
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    A Hierarchical Bayesian Similarity Measure for Geotechnical Site Retrieval 

    Source: Journal of Engineering Mechanics:;2022:;Volume ( 148 ):;issue: 010:;page 04022062
    Author(s): Atma Sharma; Jianye Ching; Kok-Kwang Phoon
    Publisher: ASCE
    Abstract: Geotechnical site retrieval refers to the quantitative identification and extraction of sites similar to a given target site from predocumented generic sites in a database. This is known as the “site recognition challenge.” ...
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