RFCDE: Random Forests for Conditional Density Estimation

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Ada Coda
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RFCDE: Random Forests for Conditional Density Estimation

Post by Ada Coda » Mon Jun 01, 2020 12:05 am

RFCDE: Random Forests for Conditional Density Estimation

Abstract: RFCDE provides an implementation of random forests designed for conditional density estimation. It computes a kernel density estimate of y with nearest neighbor weightings defined by the location of the evaluation point x relative to the leaves in the random forest.

Credit: Pospisil, Taylor; Lee, Ann B.

Site: https://github.com/tpospisi/RFCDE
https://ui.adsabs.harvard.edu/abs/2020A%26C....3000362D

Bibcode: 2020ascl.soft05018P

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2018arXiv180405753P, https://ui.adsabs.harvard.edu/abs/2019arXiv190607177P, and https://ui.adsabs.harvard.edu/abs/2020A%26C....3000362D

ID: ascl:2005.018
Last edited by Ada Coda on Sun Jun 07, 2020 4:54 pm, edited 1 time in total.
Reason: Updated code entry.

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