Paper:	Likelihood Simulation for Bounding Non-Gaussianity in the CMB
Volume:	371, Statistical Challenges in Modern Astronomy IV
Page:	421
Authors:	Jennings, K.; Treaster, A.; Cayon, L.
Abstract:	The distribution of the CMB temperature fluctuations predicted by several alternative models to the Standard Inflationary can be parametrized by the so-called fNL parameter. We present a simulation-based scheme which uses a classification algorithm to designate the most likely parameter value. Methods for parameter space search, calibration, and importance sampling can dramatically increase accuracy and efficiency. Confidence intervals are constructed using a version of simulation hypothesis testing. Output of the search algorithm can be interpolated to provide reasonably accurate estimates of bounds; a further search can be used to provide more accurate placement.

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