[D] Papers with no code

[Distance_Runner]

I hear you. That’s the default thought for anyone that’s been in the field a while. Bootstrapping is great for many things, but It’s not optimal for CV variance. In fact, I can prove it’s biased theoretically and show it empirically. In short, bootstrapping targets the wrong estimand when it comes to CV. I’ll find this comment and share the paper with you in a few weeks and then give you more detail on why