Applications of HCR multi-feature auto- and cross-correlation analysis

Where HCR multi-feature auto/cross-correlation helps, what it is compared with and how to read it: forecast validation and correction by predicted moments, adaptive Student-t normalization with its parameter sequences as contexts, bearings, rivers and finance, with frozen tests and standard benchmarks.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23832059
Primary Topic
Time Series Analysis and Forecasting
Type
article
Field-Weighted Citation Impact
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article

Applications of HCR multi-feature auto- and cross-correlation analysis

Jarosław Duda
Zenodo (CERN European Organization for Nuclear Research)
Time Series Analysis and Forecasting
article

Applications of HCR multi-feature auto- and cross-correlation analysis

Jarosław Duda
article en

Abstract

Where HCR multi-feature auto/cross-correlation helps, what it is compared with and how to read it: forecast validation and correction by predicted moments, adaptive Student-t normalization with its parameter sequences as contexts, bearings, rivers and finance, with frozen tests and standard benchmarks.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Time Series Analysis and Forecasting
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Applications of HCR multi-feature auto- and cross-correlation analysis — Jarosław Duda · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS