A mathematically rigorous network analysis framework introduces community correlations to distinguish genuine cross-graph edge dependencies from shared latent community structures ...
Time-embedded adaptations of planned missing measurement designs resolve model convergence failures in intensive longitudinal studies while preserving estimation accuracy and ...
An empirical analysis of European social good initiatives reveals that while machine learning dominates classification tasks, foundational statistical methods remain ...
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