Self-reported evidence is not input validity: a stress test of post hoc Normal-Inverse-Gamma fusion under flagged sensor faults

Preprint (manuscript version 10). Closed-form fusion of Normal-Inverse-Gamma posteriors from several regression sources (MoNIG) weights each source by the evidence it reports. This paper stress-tests that choice on rule- or quality-control-flagged sensor faults in a building network (Intel Berkeley Lab) and an air-quality co-location campaign (SensEURCity). The evidence reported by a source did not track the error of its own output against the reference, and fusion by that evidence was less accurate than the classical scheme of an input-validity gate followed by an unweighted median. Code, plans and results: https://doi.org/10.5281/zenodo.23903050.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-03
DOI
https://doi.org/10.5281/zenodo.23904291
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
preprint
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preprint

Self-reported evidence is not input validity: a stress test of post hoc Normal-Inverse-Gamma fusion under flagged sensor faults

Maikel Yelandi Leyva Vázquez
Zenodo (CERN European Organization for Nuclear Research)
Target Tracking and Data Fusion in Sensor Networks
preprint

Self-reported evidence is not input validity: a stress test of post hoc Normal-Inverse-Gamma fusion under flagged sensor faults

Maikel Yelandi Leyva Vázquez
preprint en

Abstract

Preprint (manuscript version 10). Closed-form fusion of Normal-Inverse-Gamma posteriors from several regression sources (MoNIG) weights each source by the evidence it reports. This paper stress-tests that choice on rule- or quality-control-flagged sensor faults in a building network (Intel Berkeley Lab) and an air-quality co-location campaign (SensEURCity). The evidence reported by a source did not track the error of its own output against the reference, and fusion by that evidence was less accurate than the classical scheme of an input-validity gate followed by an unweighted median. Code, plans and results: https://doi.org/10.5281/zenodo.23903050.

Zenodo (CERN European Organization for Nuclear Research)
University of Guayaquil (EC), Universidad Bernardo O'Higgins (CL)
Target Tracking and Data Fusion in Sensor Networks
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