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Roberta Siciliano

2 papers hereh-index 216 citations7 works total

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  • last author2

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • stat.ME2

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2 papers

stat.ME2025

Regularized Reduced Rank Regression for mixed predictor and response variables

Lorenza Cotugno, Mark de Rooij, Roberta Siciliano

In this paper, we introduce the Generalized Mixed Regularized Reduced Rank Regression model (GMR4), an extension of the GMR3 model designed to improve performance in high-dimension…

stat.ME2025

Reduced Rank Regression for Mixed Predictor and Response Variables

Mark de Rooij, Lorenza Cotugno, Roberta Siciliano

In this paper, we propose the generalized mixed reduced rank regression method, GMR3 for short. GMR3 is a regression method for a mix of numeric, binary, and ordinal response…

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