@article {IOPORT.05840116,
    author       = {Wu, Jinlong and Li, Tiejun and Peng, Xiang and Guo, Hong},
    title        = {Statistical method for resolving the photon-photoelectron-counting inversion problem.},
    year         = {2011},
    journal      = {Journal of Computational Physics},
    volume       = {230},
    number       = {3},
    issn         = {0021-9991},
    pages        = {726-743},
    publisher    = {Elsevier Science (Academic Press), Amsterdam},
    doi          = {10.1016/j.jcp.2010.10.015},
    abstract     = {Summary: A statistical inversion method is proposed for the photon-photoelectron-counting statistics in quantum key distribution experiment. With the statistical viewpoint, this problem is equivalent to the parameter estimation for an infinite binomial mixture model. The coarse-graining idea and Bayesian methods are applied to deal with this ill-posed problem, which is a good simple example to show the successful application of the statistical methods to the inverse problem. Numerical results show the applicability of the proposed strategy. The coarse-graining idea for the infinite mixture models should be general to be used in the future.},
    identifier   = {05840116},
}