Non-Gaussian inference from non-linear and non-Poisson biased   distributed data
  We study the statistical inference of the cosmological dark matter density field from non-Gaussian, non-linear and non-Poisson biased distributed tracers. We have implemented a Bayesian posterior sampling computer-code solving this problem and tested it with mock data based on N-body simulations. 
Metin Ata, Francisco-Shu Kitaura and Volker M\"uller
astro-ph.CO