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.
Sensitivity analysis in presence of model uncertainty and correlated inputs
2 Pith papers cite this work. Polarity classification is still indexing.
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stat.ME 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
A framework is introduced for propagating epistemic uncertainty in black-box risk models when both marginal information and dependence structures are only partly known, combining p-boxes, precise CDFs, copulas, and admissible coupling sets.
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Variance Deltas for Visualizing and Explaining Posterior Uncertainty
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.
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Probability Bound Analysis for Dependence Uncertainty in Risk and Decision Models
A framework is introduced for propagating epistemic uncertainty in black-box risk models when both marginal information and dependence structures are only partly known, combining p-boxes, precise CDFs, copulas, and admissible coupling sets.