3 papers
stat.ME2025
Penalised spline estimation of covariate-specific time-dependent ROC curves
MarÃa Xosé RodrÃguez-Ãlvarez, Vanda Inácio
The identification of biomarkers with high predictive accuracy is a crucial task in medical research, as it can aid clinicians in making early decisions, thereby reducing morbidity…
stat.ME2025
A Bayesian functional model with multilevel partition priors for group studies in neuroscience
Nicolò Margaritella, Vanda Inácio, Ruth King
The statistical analysis of group studies in neuroscience is particularly challenging due to the complex spatio-temporal nature of the data, its multiple levels and the inter-indiv…
stat.ME2024
Density regression via Dirichlet process mixtures of normal structured additive regression models
MarÃa Xosé RodrÃguez-Ãlvarez, Vanda Inácio, Nadja Klein
Within Bayesian nonparametrics, dependent Dirichlet process mixture models provide a highly flexible approach for conducting inference about the conditional density function. Howev…