2 papers
cs.AI2026
Semi-Linear Gaussian Bayesian Networks: Enhancing Flexibility in Node Dependencies via penalized B-Splines
Aitor Oviedo-Madrid, Mabel Morales-Otero, Jose Gonzalez-Gomariz +1
Bayesian networks for continuous variables often rely on restrictive assumptions: linear Gaussian models lack flexibility to capture nonlinear dependencies, while non-parametric ap…
stat.ME2022
Fitting Double Hierarchical Models with the Integrated Nested Laplace Approximation
Mabel Morales-Otero, Virgilio Gómez-Rubio, Vicente Núñez-Antón
Double hierarchical generalized linear models (DHGLM) are a family of models that are flexible enough as to model hierarchically the mean and scale parameters. In a Bayesian framew…