@article{fa149690cef04be797b56d956e8ea4bc,
title = "COSMOABC: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation",
keywords = "Galaxies: statistics, (cosmology:) large-scale structure of universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics",
author = "E.\textasciitilde{}E.\textasciitilde{}O. Ishida and S.\textasciitilde{}D.\textasciitilde{}P. Vitenti and M. Penna-Lima and J. Cisewski and \{de Souza\}, R.\textasciitilde{}S. and A.\textasciitilde{}M.\textasciitilde{}M. Trindade and E. Cameron and V.\textasciitilde{}C. Busti and COIN Collaboration",
year = "2015",
month = nov,
day = "1",
doi = "10.1016/j.ascom.2015.09.001",
language = "English",
volume = "13",
pages = "1--11",
journal = "Astronomy and Computing",
issn = "2213-1345",
publisher = "Elsevier",
}