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Reassessing Hierarchical Forecasting: Supporting Data and Code

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Zenodo2025-11-09 更新2026-05-26 收录
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Full reproducibility package for the article “Reassessing Hierarchical Forecasting: An Empirical Null Result” submitted to the International Journal of Forecasting. The archive contains three top-level folders: DATA/ (prepared WalMart M5 series, pooled and per-metric tables, and comparison summaries), R/ (all R scripts used for data preparation, forecasting, and result aggregation), and SQL/ (PostgreSQL table definitions and analysis queries). Together, these files recreate the master result tables T01–T15 and all summary statistics reported in the manuscript.

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2025-11-09
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