Model Selection in Seismic Hazard Analysis: An Information-Theoretic Perspective

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Empirical Evaluation of Hierarchical Ground‐Motion Models: Score Uncertainty and Model Weighting (2017, background): “The Logarithmic Scoring Rule The history of scoring GMMs began only after Scherbaum et al. (2009) introduced the score LLH to the seismological community: EQ-TARGET;temp:intralink-;df1;313;96LLH ℓ; q − log2 ℓ q ; 1 950 S. Mak, R. A. Clements, and D. Schorlemmer in which q is an observed ground…”
Selection of Ground Motion Prediction Equations for the Global Earthquake Model (2015, methodology): “The three general methods of relatively rigorous model-data comparisons present in the collected literature are: (1) the maximum-likelihood approach of Scherbaum et al. (2004) and its extension to normalized within- and between-event residuals distributions by Stafford et al.”
A New Procedure for Selecting and Ranking Ground-Motion Prediction Equations (GMPEs): The Euclidean Distance-Based Ranking (EDR) Method (2013, neutral): “Studies like Bindi et al. (2006), Scassera et al. (2009), and Shoja-Taheri et al. (2010) used residual analysis to evaluate GMPEs under different ground-motion databases.”