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Summary of epileptogenicity hypothesis testing using the classical and Bayesian information criteria (BIC/AIC/WAIC/LOO) in terms of deviance (-2 times log predictive density), penalty term, and Delta scores.

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Figshare2021-07-14 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Summary_of_epileptogenicity_hypothesis_testing_using_the_classical_and_Bayesian_information_criteria_BIC_AIC_WAIC_LOO_in_terms_of_deviance_-2_times_log_predictive_density_penalty_term_and_Delta_scores_/14983082
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Here, three hypotheses as EZ, PZ, and HZ are evaluated on the excitability parameter of a selected brain region, where the ground truth is EZ. The smaller deviance and penalty terms, the smaller the value of information criterion, the better the model’s predictive ability. The correct hypothesis has a Delta score of zero.
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2021-07-14
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