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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,742 papers · 148 categories

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0111 · May 201919922001200920172026
6 results for Qini

The paper addresses Qini curve estimation under clustered network interference.

problem Qini curves can be biased when interference is ignored in clustered network settings.
method Proposes three estimation strategies for clustered network interference.
result Identifies the most appropriate approach based on bias-variance trade-offs.

Our paper improves uplift model evaluation on randomized controlled trials (RCT) data.

problem Variance in uplift evaluation metrics makes their signals arbitrary and unreliable.
method Theoretical analysis and statistical adjustment of the outcome to reduce variance.
result Variance reduction methods improve uplift evaluation metrics on RCT data.

RATE metrics evaluate treatment prioritization rules, subsuming existing methods.

problem Comparing and testing the quality of treatment prioritization rules.
method Rank-weighted average treatment effect (RATE) metrics.
result RATE metrics enable asymptotically exact inference in various study settings.

The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a target population. We propose a new evaluation metr…

2019-05-14abs ↗pdf ↗

A hybrid algorithm fuses significance-based splitting with honest sample-splitting for estimating heterogeneous treatment effects.

problem Estimating heterogeneous treatment effects while maintaining valid inference.
method Significance-first splitting using a squared tt-statistic for treatment imes imes side interaction.
result Achieves approximately 90% CI coverage at the 90% nominal level across various synthetic designs and datasets.