3 papers
stat.ME2025
Penalised spline estimation of covariate-specific time-dependent ROC curves
María Xosé Rodríguez-Álvarez, 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.ME2024
Density regression via Dirichlet process mixtures of normal structured additive regression models
María Xosé Rodríguez-Álvarez, 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…
stat.ME2020
Multidimensional Adaptive Penalised Splines with Application to Neurons' Activity Studies
María Xosé Rodríguez-Álvarez, María Durbán, Paul H. C. Eilers +2
P-spline models have achieved great popularity both in statistical and in applied research. A possible drawback of P-spline is that they assume a smooth transition of the covariate…