Statistics

   

An Indirect Nonparametric Regression Method for One-Dimensional Continuous Distributions Using Warping Functions

Authors: Zhicheng Chen

Distributions play a very important role in many applications. Inspired by the newly developed warping transformation of distributions, an indirect nonparametric distribution to distribution regression method is proposed in this article for predicting correlated one-dimensional continuous probability density functions.

Comments: 4 Pages.

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Submission history

[v1] 2017-04-22 03:09:39
[v2] 2017-05-12 21:34:09

Unique-IP document downloads: 29 times

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