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As opposite to widely used models, we apply a method where a quasi-particle is traced back in time.
We then use this model to answer the question "How suboptimal is ignoring amenity driven price effects in reserve design models?" We apply the model to artificially generated data sets and compare the results with the results of an iterated static model that considers only one period at a time.
To compare the goodness of fit for all models, we apply four criteria in this paper described as follows.
To measure the distance between the models, we apply a novel Euclidean distance, approximations of Kullback-Leibler divergence, and a cross-likelihood ratio test.
In the s-L and s-L 22 models, we apply Eq. (A.5) to the equivalent radius of the asperity of each segment, with R being the equivalent radius of the corresponding fault area.
In our global models, we apply both a stronger plate (than in the regional models) and a high plate-mantle viscosity contrast in order to prevent double-sided subduction and instead enable realistic, single-sided subduction (Crameri et al. 2012b).
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In all previous models we applied similar angles to the scars within the ML.
To enhance the quality of the structural models, we applied TX-MS, using the structural compendium to guide the MS data analysis.
Other than logistic regression models, we applied causal-pie models to identify pathways involved with different family factors for BPD.
Using these tomographic models as migration velocity models, we applied the traveltime mapping method to obtain the reflector distribution along each profile (Fig. 3(g) and 3(h)).
To estimate the spatial resolution of these P-wave velocity structure models, we applied checkerboard resolution tests, which are commonly used for this purpose in tomographic studies.
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