2018 journal article

Forecasting and Uncertainty Quantification Using a Hybrid of Mechanistic and Non-mechanistic Models for an Age-Structured Population Model

Bulletin of Mathematical Biology, 80(6), 1578–1595.

By: J. Lagergren n, A. Reeder n, F. Hamilton n, R. Smith n & K. Flores n

author keywords: State space reconstruction; Uncertainty quantification; Structured population model; Forecasting
MeSH headings : Animals; Bayes Theorem; Coleoptera / pathogenicity; Coleoptera / physiology; Forecasting / methods; Mathematical Concepts; Models, Biological; Multivariate Analysis; Population Dynamics / statistics & numerical data; Uncertainty
TL;DR: An analysis of the results from Bayesian inference for the mechanistic model and hybrid models is performed to suggest reasons why hybrid modeling methodology may enable more accurate forecasts of multivariate systems than traditional approaches. (via Semantic Scholar)
Sources: Web Of Science, Crossref, ORCID
Added: August 6, 2018

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