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Bayesian network modelling for predicting employment tendency and major matching of vocational education students
Study applies Bayesian network modelling to predict employment outcomes and match vocational students with suitable majors, achieving 75% predictive accuracy and reducing skill-job mismatches.
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Network DLN shows cost-adjusted utility gains at large scale
Computational models of cognitive stages show that network-stage architectures outperform linear stages through estimation efficiency and explicit exposure tracking, not just parameter reduction.
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Framework combines Bayesian learning and discrete-event modeling for remanufacturing
Framework combining Bayesian learning and discrete event simulation to enable remanufacturing facilities to adapt dynamically to demand and supply uncertainty while advancing sustainability.
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Task learning increased redundancy in macaque visual cortex responses
Task learning increases information redundancy in macaque visual cortex while preserving individual neuron information, supporting Bayesian inference over efficiency-based models.
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Bayesian updating is characterized for a class of atomic probabilities
Characterization of probability measures where Bayesian updating via conditional probability formula constitutes the unique updating mechanism under relational assumptions
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TV-SCVARMA outperforms classical VARMA in Nigeria
Time-varying VARMA framework for macroeconomic forecasting in Nigeria addresses parameter instability from external shocks using state-space estimation with Kalman filtering.
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Fronts may host a distinct phytoplankton community
Statistical framework combining finite mixtures, EM and hierarchical Bayesian inference reveals a distinct phytoplankton community comprising ~70% of observations within a Mediterranean oceanic front.
