Bayesian model comparison and selection of spatial correlation functions for soil parameters

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Bayesian identification of soil stratigraphy based on soil behaviour type index (2019, background): “They are treated as nuisance parameters in the study, which are quantities necessarily included in the formulation and analysis but of no intrinsic interest (Sivia and Skilling 2006; Wang et al. 2013; Cao and Wang 2014), as discussed in the next section.”
Copula-based approaches for evaluating slope reliability under incomplete probability information (2015, unknown): “The third and more appealing approach is based on a Bayesian notion [4].”
Response surface methods for slope reliability analysis: Review and comparison (2016, background): “For example, the squared exponential (SQX) autocorrelation function (ACF) (e.g., Cao and Wang, 2014a; Li et al., 2015a) is adopted to model spatial variability in this study.”
A multiple response-surface method for slope reliability analysis considering spatial variability of soil properties (2015, background): “It is challenging to identify detailed underground stratigraphy information with limited site data in geotechnical practice (Cao and Wang, 2014; Tang et al., 2015).”
Bayesian identification of random field model using indirect test data (2016, methodology): “Note that the accuracy of results obtained from Bayesian analyses relies on the amount of test data used in the analysis (e.g., Wang and Cao, 2013; Cao and Wang, 2014a).”