4 papers · 1 filter
A Kolmogorov-Arnold Neural Model for Cascading Extremes
Miguel de Carvalho, Clemente Ferrer, Ronny Vallejos
This paper addresses the growing concern of cascading extreme events, such as an extreme earthquake followed by a tsunami, by presenting a novel method for risk assessment focused…
The underlap coefficient as a measure of a biomarker's discriminatory ability
Zhaoxi Zhang, Vanda Inacio, Miguel de Carvalho
The first step in evaluating a potential diagnostic biomarker is to examine the variation in its values across different disease groups. In a three-class disease setting, the volum…
Bayesian semiparametric modelling of phase-varying point processes
Bastian Galasso, Yoav Zemel, Miguel de Carvalho
We propose a Bayesian semiparametric approach for registration of multiple point processes. Our approach entails modelling the mean measures of the phase-varying point processes wi…
Affinity-based measures of medical diagnostic test accuracy
Miguel de Carvalho, Bradley J. Barney, Garritt L. Page
We propose new summary measures of diagnostic test accuracy which can be used as companions to existing diagnostic accuracy measures. Conceptually, our summary measures are tantamo…