Grupo de Investigación Nuevas Tecnologías, Trabajo y Gestión [NTTG] · 2025

Computational modeling of epidemiological count data using non-homogeneous poisson processes and functional data

Resumen

In this work, we introduce a novel methodology for modeling discrete count variables within the framework of stochastic processes. Our approach integrates two statistical areas: Non-Homogeneous Poisson Processes for the estimation and prediction of intensity functions based on explanatory variables and functional data estimation techniques.