{"ID":2889740,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.21023","arxiv_id":"2507.21023","title":"On Using the Shapley Value for Anomaly Localization: A Statistical Investigation","abstract":"Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. Using a reasonable mathematical anomaly model for full control, experiments indicate that using a single fixed term in the Shapley value calculation achieves a lower complexity anomaly localization test, with the same probability of error, as a test using the Shapley value for all cases tested. A proof demonstrates these conclusions must be true for all independent observation cases. For dependent observation cases, no proof is available.","short_abstract":"Recent publications have suggested using the Shapley value for anomaly localization for sensor data systems. Using a reasonable mathematical anomaly model for full control, experiments indicate that using a single fixed term in the Shapley value calculation achieves a lower complexity anomaly localization test, with th...","url_abs":"https://arxiv.org/abs/2507.21023","url_pdf":"https://arxiv.org/pdf/2507.21023v2","authors":"[\"Xubin Fang\",\"Rick S. Blum\",\"Franziska Freytag\"]","published":"2025-07-28T17:43:53Z","proceeding":"cs.LG","tasks":"[\"cs.LG\",\"eess.SP\"]","methods":"[]","has_code":false}