A Bayesian modeling approach to fuzzy data analysis
Calcagnì A., Grzegorzewski P.
SMPS, Sept 3-6, 2024 [pdf]

Integrating Rasch and compositional modeling for the analysis of social survey data
Calcagnì A.
52st SIS Scientific Meeting, June 17-20, 2024 [pdf]

A fuzzy topic modeling approach to legal corpora
Calcagnì A., Tuzzi A.
Statistics and Data Science Conference, Apr 11-12, 2024 [pdf]

Approximated Gibbs sampling for continuous fuzzy numbers
Calcagnì A., Grzegorzewski P.
EUSFLAT, Sept 4-8, 2023 [pdf]

A probabilistic tree model to analyze fuzzy rating data
Calcagnì A., Lombardi L.
IPMU, July 11-15, 2022 [pdf]

A Bayesian beta linear model to analyze fuzzy rating responses
Calcagnì A., Pastore M., Altoè G., Finos L.
51st SIS Scientific Meeting, June 22-24, 2022 [pdf]

fIRTree: An Item Response Theory modeling of fuzzy rating data
Calcagnì A.
IFSA-EUSFLAT, Sept. 19-24, 2021 [pdf]

Estimating latent linear correlations from fuzzy contingency tables
Calcagnì A.
13th CLADAG Scientific Meeting, Sept 9-11, 2021 [pdf]

Uso del data mining per predire la dipendenza da Instagram in un campione italiano di studentesse
Calcagnì A., Cortellazzo V., Guizzo F., Canale N.
XXVI AIP National Meeting, Sept 2-4, 2020 [pdf]

Sign-flipping score based confidence for testing in generalized linear models
Calcagnì A., Hemerik J., Goeman J., Finos L.
12th IBS International Meeting, July 8-10, 2019 [pdf]

Handling with categorical data in factor analysis: A copula-based approach
Calcagnì A., Altoè G., Pastore M.
EMPG Annual Meeting, July 30 - Aug 2, 2018 [pdf]

Il valore aggiunto dell'inferenza bayesiana nell'analisi dei dati in psicologia
Calcagnì A., Altoè G.
XXIII AIP National Meeting, Sept 20-22, 2017 [pdf]

A Generalized Maximum Entropy (GME) approach to crisp-input/fuzzy-output regression model
Calcagnì A., Ciavolino E.
SIS International Conference: Advances in Latent Variables. Methods, Models and Applications, June 19-21, 2013 [pdf]