ASCARI ROBERTO

Ascari, R., Giampino, A., Migliorati, S. (2026). Sub-topics detection with extended flexible latent Dirichlet allocation. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION [10.1007/s11634-026-00690-9]. Dettaglio

Ascari, R., Giampino, A., Rubina Nava, C. (2026). Latent Dirichlet Allocation to Study Territorial Identity via In-Depth Interviews. In F. Martella, S. Arima, M.F. Marino, C. Mollica (a cura di), Statistical Science: From Theory to Applied Research II SIS-FENStatS 2026, Short Papers, Contributed Sessions 1 (pp. 132-137). Springer [10.1007/978-3-032-30877-1_22]. Dettaglio

Ascari, R., Di Brisco, A., Migliorati, S., Ongaro, A. (2026). FlexReg: an R package for fitting a general class of mixture regression models with bounded responses in a Bayesian framework. COMPUTATIONAL STATISTICS, 41(2) [10.1007/s00180-026-01720-y]. Dettaglio

Galbiati, A., Ascari, R. (2026). Zero- and/or One-Augmented Flexible Beta Regression with EM-Based Estimation. In F. Martella, S. Arima, M.F. Marino, C. Mollica (a cura di), Statistical Science: From Theory to Applied Research III SIS-FENStatS 2026, Short Papers, Contributed Sessions 2 (pp. 363-369). Springer [10.1007/978-3-032-30881-8_59]. Dettaglio

Ascari, R., Migliorati, S., Ongaro, A. (2025). A New Dirichlet-Multinomial Mixture Regression Model for the Analysis of Microbiome Data. STATISTICS IN MEDICINE, 44(18-19 (August 2025)) [10.1002/sim.70220]. Dettaglio