Table 1. Indicators considered in this paper.
Name of indicator | Interpretation | Symbol | NonparametricEstimate |
Conditionalvariance | Variance of x as a function of x. We use the conditional variance as an approximation of thelong-run stationary variance of x, . In a critical transition caused by a local co-dimensionone bifurcation of the drift function, the long-run stationary variance of the linearizationaround the deterministic steady state becomes infinite at the transition point. The long runstationary variance may increase as a noise-induced transition is approached. | S2 | Equation [5] |
Diffusion | Variance of dx as a function of x. We use the estimator as an approximation of as defined near equation [1]. In a noise-induced transition, the variance matrix functiong’g (or g2) increases as the transition is approached. | g’g, or g2 | Equation [7] |