A Novel Bayesian Model Validation Method Based on Bootstrap Resampling and Distance Remapping

Chongyuan Chen

doi:10.1016/j.ast.2025.111531

A Novel Bayesian Model Validation Method Based on Bootstrap Resampling and Distance Remapping

2025-12-17

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DOI：10.1016/j.ast.2025.111531

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• A novel perspective on the classification of uncertainty is described. • Transitional Markov chains Monte Carlo method with simulated annealing is introduced for model calibration. • Bootstrap resampling and distance remapping strategies are introduced to assess the effectiveness of the model calibration and the quality of the samples. • A concentration indicator based on Kullback-Leibler divergence is proposed to quantitatively assess the credibility of calibration results.

A Novel Bayesian Model Validation Method Based on Bootstrap Resampling and Distance Remapping

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