collaborators

5 papers

stat.AP2026

Summarising mortality data with a time-dependent beta latent variable model

Pedro Menezes de Araújo, Isobel Claire Gormley, Thomas Brendan Murphy

Age-specific probabilities of death provide a snapshot of population mortality at the country level at a given point in time. Due to the high dimensionality of the data, summarisin…

math.CO2026

Semidegree threshold for spanning trees in oriented graphs

Pedro Araújo, Pedro Araújo, Giovanne Santos +1

We show that for all and , there is some such that, if , then every oriented graph on vertices with minimum semidegree at least $(3/8…

math.PR2026

Extreme local statistics in random graphs: maximum tree extension counts

Pedro Araújo, Simon Griffiths, Matas Šileikis +1

We consider maximum rooted tree extension counts in random graphs, i.e., we consider M_n = \max_v X_v where X_v counts the number of copies of a given tree in G_{n,p} rooted at ver…

cs.LG2025

Support Vector Machine-Based Burnout Risk Prediction with an Interactive Interface for Organizational Use

Bruno W. G. Teodosio, Mário J. O. T. Lira, Pedro H. M. Araújo +1

Burnout is a psychological syndrome marked by emotional exhaustion, depersonalization, and reduced personal accomplishment, with a significant impact on individual well-being and o…

math.CO2025

Local central limit theorem for triangle counts in sparse random graphs

Pedro Araújo, Letícia Mattos

Let be the number of copies of a fixed graph in . In 2016, Gilmer and Kopparty conjectured that a local central limit theorem should hold for as long as