A tri-state decision framework for long-memory noise in time series: companion methods paper and reproducible verification package (v8)

Companion methods paper (reviewed draft v8) with the reproducible verification package. The archive contains the manuscript, the supplementary code and result package, a README, and SHA256SUMS.txt for integrity verification. Files are restricted pending formal publication and can be shared by the author on request.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-11
DOI
https://doi.org/10.5281/zenodo.24127729
Primary Topic
Complex Systems and Time Series Analysis
Type
preprint
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preprint

A tri-state decision framework for long-memory noise in time series: companion methods paper and reproducible verification package (v8)

Yongshun Huo
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
preprint

A tri-state decision framework for long-memory noise in time series: companion methods paper and reproducible verification package (v8)

Yongshun Huo
preprint en

Abstract

Companion methods paper (reviewed draft v8) with the reproducible verification package. The archive contains the manuscript, the supplementary code and result package, a README, and SHA256SUMS.txt for integrity verification. Files are restricted pending formal publication and can be shared by the author on request.

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Time Series Analysis
DOIOpen Access PDFOpenAlex
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A tri-state decision framework for long-memory noise in time series: companion methods paper and reproducible verification package (v8) — Yongshun Huo · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS