ENBIS-26 Conference

Session

itENBIS Session - Flexible and Scalable Models for Complex Data Structures

Sep 9, 2026, 9:00 AM

Conveners

itENBIS Session - Flexible and Scalable Models for Complex Data Structures

• Amalia Vanacore (Department of Industrial Engineering University of Naples Federico II)

34. Fuzzy jump models for soft and hard clustering of mixed-type multivariate time series

Federico Cortese (University of Milan)

9/9/26, 9:00 AM

Other/special session/invited session

Statistical jump models have been recently introduced to detect persistent regimes by clustering temporal features while discouraging frequent regime changes. However, they rely on hard clustering and therefore do not account for uncertainty in state assignments.

In this work, we propose a fuzzy extension of the statistical jump model that incorporates uncertainty in cluster membership....

52. Variable selection and high dimension in multinomial models

Marcella Niglio (University of Salerno)

9/9/26, 9:30 AM

Other/special session/invited session

Identifying predictors associated with specific response categories in multinomial logistic regression is a challenging task. It is furthermore complex in a high-dimensional setting, where the number of covariates is higher than the number of units. To address the variable selection in high dimensional domain and in the presence of multinomial models with unordered responses, we propose a...

76. Small area models for count data: an area-level EFD model

Serena Arima (University of Salento)

9/9/26, 10:00 AM

Other/special session/invited session

In this contribution, we focus on small-area compositional data. These data are defined as vectors whose elements are strictly positive and sum to one (e.g., proportions). Compositional data arise in various fields, including medicine, economics, psychology, and environmetrics. They are defined on the D-part simplex (S^D) and require complex techniques for proper analysis.
A traditional...