Posts by: Dr. Eric Hart

Are Decision Trees Secretly Parametric Models? Part 2

Published January 15, 2018.

In the first part of this blog entry, we explored the idea of parametric models, and why this classification might be relevant when thinking about how to make use of Big Data. The astute reader probably noticed, however, that the title of this blog post references the parametricity of decision trees and I didn’t even […]

Are Decision Trees Secretly Parametric Models? Part 1

Published December 11, 2017.

In my living room I have a TV and a couch. Actually, for this story, it’s more important that I tell you I have a TV and a painting. The painting sits above the couch, but that’s neither here nor there. If I want to tell you about my TV, I could simply tell you […]

Statistical Power

Published February 14, 2017.

Introduction What is statistical power? Sometimes called the sensitivity of a hypothesis test, statistical power describes the ability for a statistical test to identify whether the effect it is trying to find or measure exists or not. If you’re wondering how a test designed to measure a statistical effect might be unable to measure that […]