A flexible method for estimating luminosity functions via kernel density estimation
We propose a flexible method for estimating luminosity functions (LFs) based on kernel density estimation (KDE), the most popular nonparametric density estimation approach developed in modern statistics, to overcome issues surrounding the binning of LFs. One challenge in applying KDE to LFs is how t...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
| Published: |
American Astronomical Society
2020
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