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.
@article{arxiv.1406.7796,
title = {Non-Gaussian inference from non-linear and non-Poisson biased distributed data},
author = {Metin Ata and Francisco-Shu Kitaura and Volker Müller},
journal= {arXiv preprint arXiv:1406.7796},
year = {2014}
}
Comments
Proceedings of IAU 306 Symposium, Statistical Challenges of the 21st Century Cosmology