Inverse Population Dynamics Problem Employing a Low Cost Integral Transform Solution and Bayesian Inference with Approximation Error Model

• Published in: International journal of applied and computational mathematics Vol. 7; no. 5
• Main Authors: Friguis, Maiquison S., Knupp, Diego C., Abreu, Luiz A. S., Stutz, Leonardo T., Neto, Antônio J. Silva
• Format: Journal Article
• Language: English
• Published: New Delhi Springer India 01.10.2021; Springer Nature B.V
• Subjects: Applications of Mathematics; Applied mathematics; Approximation; Bayesian analysis; Computational mathematics; Computational Science and Engineering; Errors; Integral transforms; Inverse problems; Livestock; Low cost; Mathematical and Computational Physics; Mathematical Modeling and Industrial Mathematics; Mathematics; Mathematics and Statistics; Nuclear Energy; Operations Research/Decision Theory; Original Paper; Partial differential equations; Population density; Statistical inference; Theoretical; Approximation error model; Integral transforms; Diffusive populations; Impulsive culling; Bayesian inference

Population dynamics modeling is a subject of major relevance, especially when involving human or livestock disease vectors. Such importance is due to the fact that there are several diseases that are spread by some particular species, and the knowledge on the behavior of such populations is relevant...