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stat.ME2026
Non-ignorable fuzziness in granular counts: the case of RNA-seq data
Antonio Calcagnì, Arianna Consiglio, Przemyslaw Grzegorzewski +1
RNA-seq count data are often affected by read-to-gene alignment ambiguity, especially in high-dimensional transcriptomics. This type of ambiguity can be conveniently expressed thro…
stat.ME2025★ 2 cited
Bayesianize Fuzziness in the Statistical Analysis of Fuzzy Data
Antonio Calcagnì, Przemysław Grzegorzewski, Maciej Romaniuk
Fuzzy data, prevalent in social sciences and other fields, capture uncertainties arising from subjective evaluations and measurement imprecision. Despite significant advancements i…