Skip to content

romainlafarguette/cqsampling

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Sampling from Conditional Quantiles via Inverse Transform Sampling and Uncrossing

Python module to sample from a set of potentially crossing conditional quantiles

The sampling uses a very simple inverse transform sampling approach

The quantile uncrossing part offers two approaches, based on:

Chernozhukov et al. (2010) Quantile and Probability Curves Without Crossing, Econometrica

Schmidt and Zhu (2016), Quantile Spacings: A Simple Method for the Joint Estimation of Multiple Quantiles Without Crossing

Author: Romain Lafarguette, June 2018

About

Sampling from a set of conditional quantiles via inverse transform sampling, with quantiles uncrossing correction

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages