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- Title
An Alternative to Moment Closure.
- Authors
Nåsell, Ingemar
- Abstract
Moment closure methods are widely used to analyze mathematical models. They are specifically geared toward derivation of approximations of moments of stochastic models, and of similar quantities in other models. The methods possess several weaknesses: Conditions for validity of the approximations are not known, magnitudes of approximation errors are not easily evaluated, spurious solutions can be generated that require large efforts to eliminate, and expressions for the approximations are in many cases too complex to be useful. We describe an alternative method that provides improvements in these regards. The new method leads to asymptotic approximations of the first few cumulants that are explicit in the model's parameters. We analyze the univariate stochastic logistic Verhulst model and a bivariate stochastic epidemic SIR model with the new method. Errors that were made in early applications of moment closure to the Verhulst model are explained and corrected.
- Subjects
ASYMPTOTIC distribution; APPROXIMATION theory; QUASIANALYTIC functions; STOCHASTIC analysis; ERROR analysis in mathematics
- Publication
Bulletin of Mathematical Biology, 2017, Vol 79, Issue 9, p2088
- ISSN
0092-8240
- Publication type
Article
- DOI
10.1007/s11538-017-0321-2