GetDist implements boundary-corrected KDE with automatic smoothing for analyzing weighted and correlated Monte Carlo samples, plus plotting and diagnostic tools.
Hansen, Lecture notes on nonparametrics (2009), https://www.ssc.wisc.edu/ ∼bhansen/718/NonParametrics1.pdf
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.IM 1years
2019 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
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.