Comparison of Probabilistic and Stochastic Formulations in Modeling Growth Uncertainty and Variability

Shuhua Hu
Center for Research in Scientific Computation
North Carolina State University

We compare two approaches for inclusion of uncertainty/variability in modeling growth in size-structured population models. One entails imposing a probabilistic structure on growth rates in the population while the other involves formulating growth as a stochastic Markov diffusion process. We present a theoretical analysis that allows one to include comparable levels of uncertainty in the two distinct formulations in making comparisons of the two approaches.

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