Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives

This manuscript is a non-peer-reviewed preprint.

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Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-09
DOI
https://doi.org/10.5281/zenodo.22675103
Primary Topic
Advanced Causal Inference Techniques
Type
preprint
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preprint

Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives

Von‐Wun Soo, Guan-Yuan Chen
Zenodo (CERN European Organization for Nuclear Research)
Advanced Causal Inference Techniques
preprint

Dependent Samples Break pass@k: An Impossibility Theorem for Unbiased Estimation, and the Estimand That Survives

Von‐Wun Soo, Guan-Yuan Chen
preprint en

Abstract

No abstract available for this paper.

Zenodo (CERN European Organization for Nuclear Research)
Chang Gung University (TW), National Tsing Hua University (TW), North Carolina Exploring Cultural Heritage Online (US)
Advanced Causal Inference Techniques
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