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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