Mastering Priors and Assumptions: A Layered Guide for Effective Mathematical Modeling
Understanding and strategically applying priors and assumptions—ranging from basic scientific premises to data and result-level hypotheses—enhances the construction, validation, and predictive power of mathematical models, as illustrated through layered examples and a detailed SIR epidemic model case study.