Fisher information distance

For a parametric family $\{P_{\theta }\}$, the Fisher information distance is

$$D(P_{\theta },P_{\varphi })=(\theta -\varphi {)}^{t}I(\theta {)}^{-1}(\theta -\varphi ),$$

where $I(\theta )$ is the Fisher information.