Gaussian Process Cosmography
  Gaussian processes provide a method for extracting cosmological information
from observations without assuming a cosmological model. We carry out
cosmography -- mapping the time evolution of the cosmic expansion -- in a
model-independent manner using kinematic variables and a geometric probe of
cosmology. Using the state of the art supernova distance data from the Union2.1
compilation, we constrain, without any assumptions about dark energy
parametrization or matter density, the Hubble parameter and deceleration
parameter as a function of redshift. Extraction of these relations is tested
successfully against models with features on various coherence scales, subject
to certain statistical cautions.
