Adaptive Bayesian and frequentist data processing for quantum tomography
  The outcome statistics of an informationally complete quantum measurement for a system in a given state can be used to evaluate the ensemble expectation of any linear operator in the same state, by averaging a function of the outcomes that depends on the specific operator. Here we introduce two novel data-processing strategies, non-linear in the frequencies, which lead to faster convergence to theoretical expectations. 
G. M. D'Ariano, D. F. Magnani, and P. Perinotti