From the 1 of 3 linked papers with an AI index.
3 papers
Towards a Geometric Characterization of Multiverse Analysis
Giovanni Saraceno, Antonio Calcagnì
The paper introduces a geometric framework that represents each analytical specification in a multiverse as a probability distribution, enabling the study of their relationships th…
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…
Bayesianize Fuzziness in the Statistical Analysis of Fuzzy Data
Antonio Calcagnì, PrzemysÅaw 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…