Figure 7
From: Accelerated maximum likelihood parameter estimation for stochastic biochemical systems
Effects of decay-dimerization model structure on MCEM2, Poisson method, and SGD performance. Boxplots summarize mean relative errors of the three methods applied to 10 decay-dimerization datasets for each of two three-reaction models. The two models differ only in their third reaction (listed on x-axis); the first model contains a reversible dimerization, while the second model does not. MCEM2 and the Poisson method perform similarly across both models, while SGD consistently incurs an infinite mean relative error (due to the estimate of θ1quickly tending to infinity) when applied to the second (irreversible) model.