3 papers
math.OC2026
On leveraging constrained smooth additive regression models for global optimization
Marina Cuesta, Claudia D'Ambrosio, MarÃa Durban +2
Many real-world decision-making processes rely on solving mixed-integer nonlinear programs (MINLPs). However, finding high-quality solutions to MINLPs is often computationally dema…
stat.ME2025
Fast Estimation of the Composite Link Model for Multidimensional Grouped Counts
Carlo G. Camarda, MarÃa Durbán
This paper presents a significant advancement in the estimation of the Composite Link Model within a penalized likelihood framework, specifically designed to address indirect obser…
stat.ME2024
Proposal of a general framework to categorize continuous predictor variables
Irantzu Barrio, Javier Roca-Pardiñas, Cristobal Esteban +1
The use of discretized variables in the development of prediction models is a common practice, in part because the decision-making process is more natural when it is based on rules…