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This paper presents a survival certificate for certifying logical implications in machine-extracted statutory data, using statistical methods to handle extractor disagreement and validating on real-world legal corpora.
This simulation study quantifies selection bias in retail inflation estimation and compares correction methods, finding that stratification generally outperforms inverse probability weighting in long-tail contexts with severe positivity violations.
This paper formalizes the problem of ordering filters in sequential filtering pipelines under independent cost and selectivity models, proving that ordering by increasing ratio of cost to rejection probability is optimal. Monte Carlo simulations demonstrate that this ordering dominates common heuristics both in expectation and across the full distribution of outcomes.