Linnéa Gyllingberg, David J T Sumpter, Åke Brännström
Finding analytical approximations for discrete, stochastic, individual-based models of ecology
Mathematical biosciences
effort explain fundamental formulations aggregate data inverse problems requiring estimation probability distribution parameters use motivating example class car tcall cancer models mice ascertaining results model stability sensitivity respect parameters carry first elementary computations question much data needed successful estimation probability distributions