3 papers
stat.ME2026
Towards a Geometric Characterization of Multiverse Analysis
Giovanni Saraceno, Antonio Calcagnì
Multiverse analysis makes explicit how empirical conclusions depend on alternative, defensible analytical specifications. Standard approaches usually generate the multiverse first…
stat.ME2024
A unified framework for multivariate two-sample and k-sample kernel-based quadratic distance goodness-of-fit tests
Marianthi Markatou, Giovanni Saraceno
In the statistical literature, as well as in artificial intelligence and machine learning, measures of discrepancy between two probability distributions are largely used to develop…
stat.CO2024
Goodness-of-Fit and Clustering of Spherical Data: the QuadratiK package in R and Python
Giovanni Saraceno, Marianthi Markatou, Raktim Mukhopadhyay +1
We introduce the QuadratiK package that incorporates innovative data analysis methodologies. The presented software, implemented in both R and Python, offers a comprehensive set of…