Threshold-Based Inference Under Finite Access: Four Controlled Experiments on Scale-Dependent Decision Instability

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Authors: David Freeman
Cited by: 0

Abstract

Four controlled experiments comparing a standard threshold-based inference rule against a scale-invariance check on real ECG time-series data (MIMIC-Perform). All experiments use identical, locked parameters with no tuning or case-specific adjustment. Results identify three structurally distinct failure modes of single-valuation inference under finite access, including cases where a raw metric overrides stable multi-scale structure and cases where legitimate smoothing scales never converge to a single outcome. Includes full audit artifacts (CSVs, plots, parameter files, null permutation tests) for independent inspection. See EXECUTIVE_SUMMARY.txt for an overview and EXPERIMENTAL_REPORT.txt for full details.

Fields of Study & Subjects

ECG Monitoring and Analysis Time Series Analysis and Forecasting Artificial Intelligence in Healthcare

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026
Language
EN
Document type
Dataset