Proposes variance deltas, an interactive tree-based visualization system that identifies subsets of unobserved quantities explaining posterior uncertainty, with demonstrations on causal inference and polling data.
Detecting and diagnosing prior and likelihood sensitivity with power-scaling
3 Pith papers cite this work. Polarity classification is still indexing.
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Predictively consistent priors let complex Bayesian models match or beat the out-of-sample performance of selected simpler models across linear, logistic, and nonlinear examples without explicit selection.
Two hybrid Bayesian surrogate training approaches integrate simulation and real-world data via a weighting strategy independent of surrogate family, shown in synthetic and real case studies to improve accuracy and diagnose simulation issues.
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Bayesian Surrogate Training on Multiple Data Sources: A Hybrid Modeling Strategy
Two hybrid Bayesian surrogate training approaches integrate simulation and real-world data via a weighting strategy independent of surrogate family, shown in synthetic and real case studies to improve accuracy and diagnose simulation issues.