Antonio Calcagnì
Scholar

Antonio Calcagnì

Google Scholar ID: YiGSXU8AAAAJ
Associate Professor, University of Padova, Italy
DataStatisticsMeasurementModeling
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Citations & Impact
All-time
Citations
927
 
H-index
14
 
i10-index
20
 
Publications
20
 
Co-authors
0
 
Publications
3 items
Towards a Geometric Characterization of Multiverse Analysis
2026
Cited
0
Non-ignorable fuzziness in granular counts: the case of RNA-seq data
2026
Cited
0
Bayesianize Fuzziness in the Statistical Analysis of Fuzzy Data
2025
Cited
0
Resume
Background
  • Associate Professor of Statistics for Social Sciences at the University of Padova
  • Affiliated with the GNCS research group of INdAM (Istituto Nazionale di Alta Matematica)
  • Long-standing focus on fuzzy statistics, particularly developing methods to address non-stochastic measurement error in social and behavioral data modeling
  • Research includes latent structure estimation models to decouple measurement information in structured and unstructured survey data
  • Strong interest in Bayesian methodologies for modeling complex social and behavioral data, including approximate and computationally intensive inference approaches
  • Recently extended research interests to text and network data to integrate diverse sources and uncover complex patterns in social phenomena