A generic approach to nonparametric function estimation with mixed data

Understand

In practice, data often contain discrete variables.

• But most of the popular nonparametric estimation methods have been developed in a purely continuous framework.
• A common trick among practitioners is to make discrete variables continuous by adding a small amount of noise.
• We show that this approach is justified if the noise distribution belongs to a certain class.