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Variable Architecture Bayesian Neural Networks: Model Selection Based on EMCecture model where the number of hidden units are selected by using a variant of the real-coded Evolutionary Monte Carlo algorithm developed by Liang and Wong (2001) for inference and prediction in fixed architecture Bayesian Neural Networks.confide 发表于 2025-3-30 18:57:11
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The Effects of MEP Distributed Random Effects on Variance Component Estimation in Multilevel Modelsifications on random effect distribution. The multivariate distributions here introduced for the random effects belong to the family of the Multivariate Exponential Power (MEP) distributions. Our primary interest is devoted to the variability of such estimators, since the MEPs have a noteworthy influence upon it.