Computational modeling of epidemiological count data using Non-Homogeneous Poisson Processes and functional data
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universidad de Antioquia
2025-03-01
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| Series: | Revista Facultad de Ingeniería Universidad de Antioquia |
| Subjects: | |
| Online Access: | https://revistas.udea.edu.co/index.php/ingenieria/article/view/357499 |
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