Transformationally decoupling clustering and tracer bias
  Gaussianizing transformations are used statistically in many non-cosmological
fields, but in cosmology, we are only starting to apply them. Here I explain a
strategy of analyzing the 1-point function (PDF) of a spatial field, together
with the 'essential' clustering statistics of the Gaussianized field, which are
invariant to a local transformation. In cosmology, if the tracer sampling is
sufficient, this achieves two important goals. First, it can greatly multiply
the Fisher information, which is negligible on nonlinear scales in the usual
$\delta$ statistics. Second, it decouples clustering statistics from a local
bias description for tracers such as galaxies.
