Jethro's Braindump

Likelihood Principle

tags
§machine_learning

Given a generative model for data \(d\) given parameters \(\mathrm{\theta}\), \(P(d|\mathrm{\theta})\), and having observed a particular outcome \(d_1\), all inferences and predictions should depend only on the function \(P(d_1 | \mathrm{\theta})\).

Icon by Laymik from The Noun Project. Website built with ♥ with Org-mode, Hugo, and Netlify.