GetDist implements boundary-corrected KDE with automatic smoothing for analyzing weighted and correlated Monte Carlo samples, plus plotting and diagnostic tools.
While the current methods remain functional in these cases, the use of a global smooth- ing kernel may be far from optimal
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GetDist: a Python package for analysing Monte Carlo samples
GetDist implements boundary-corrected KDE with automatic smoothing for analyzing weighted and correlated Monte Carlo samples, plus plotting and diagnostic tools.