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Shebalin et al. (2011) suggested a method based on differential probability gains to convert alarm-based to rate-based earthquake forecast models.
Hence, we proposed here a practical method to combine forecasts based on differential probability gains.
The combining method based on differential probability gains shows promising results compared to individual earthquake forecast models and other linear combination techniques.
This demonstrates that a combination of forecast models based on differential probability gains can increase earthquake probabilities in rate-based forecast models.
This difference indicates that the combination based on differential probability gain is currently better than a linear combination at increasing the predicted event rates in the limit of high rate values.
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The modeling approach is based on differential geometry.
Mathematical models based on differential equations have proved very useful.
Thus, interaction based on differential treatment is unlikely.
Therefore, there could be biases based on differential survival.
As a result, DV analysis can complement traditional analysis based on differential expression and differential coexpression.
Therefore, P1 t) values do not test hypotheses, and can be used to rank and prioritize DEGs based on their probability of differential expression.
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based on differential banding
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based on differential thickness
based on general probability
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based on constant probability
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based on differential Privacy
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