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Statisticians struggle to combine evidence from different datasets when the relationships between them are unclear. This research proposes a method to aggregate statistical evidence using group-invariance and exchangeability, treating transformed datasets as units. This could improve how we combine data from different sources.
“arXiv:2607.15823v1 Announce Type: cross Abstract: We study aggregation of statistical evidence under unknown and potentially complex dependence using group-invariance. Building on permutation-based constructions that treat transformed datas…”
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arXiv:2607.15823v1
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Aug 6, 2026