Computational modeling of epidemiological count data using Non-Homogeneous Poisson Processes and functional data

In this work, we introduce a novel methodology for modeling RED CLOVER PLUS 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 tech

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