Extraction of Existing Geotechnical Datasets Using Distance Calculation Methods and Estimation of Unobserved Parameters with Uncertainty Evaluation Using Linear Bayesian Regression

Key Points

• This research aims to extract geotechnical data from existing databases and estimate unobserved parameters.
• Utilized existing geotechnical databases and distance calculation methods to extract relevant datasets.
• Employed linear Bayesian regression to estimate unobserved parameters and calculate prediction intervals.
• Achieved estimates comparable to true values using similar datasets for linear Bayesian regression.
• The 95% prediction intervals indicated the reliability of estimates and suggested revisiting datasets when intervals are large.