Roberta Siciliano
Biographic Data
| ID | 10370442 |
|---|---|
| NAME | Roberta Siciliano |
| GIVEN NAMES | Roberta |
| FAMILY NAME | Siciliano |
| SIGNATURE | SICILIANO R |
| AFFILIATIONS | University of Naples Federico II Naples Italy |
| ORCID | 0000-0002-8012-0461 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Regularized reduced rank regression for mixed predictor and response variables
In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR 4 ), an extension of the GMR 3 model designed to improve performance in high‐dimensional settings. GMR 3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal scaling. GMR 4 extends this approach by incorporating regularization techniques, such as Ridge, Lasso,…
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Regularized reduced rank regression for mixed predictor and response variables
In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR 4 ), an extension of the GMR 3 model designed to improve performance in high‐dimensional settings. GMR 3 is a regression method for a mix of numeric, binary and ordinal response variables, while also allowing for mixed‐type predictors through optimal scaling. GMR 4 extends this approach by incorporating regularization techniques, such as Ridge, Lasso,…
Advanced Statistical Methods and Models (1 work) · Collinearity (1 work) · Covariate (1 work) · Ordinal data (1 work) · Ordinal regression (1 work) · Rank (graph theory) (1 work) · Regression (1 work) · Regression analysis (1 work) · Regularization (linguistics) (1 work) · Segmented regression (1 work)