10 min listen
Stein's Paradox
ratings:
Length:
27 minutes
Released:
Feb 27, 2017
Format:
Podcast episode
Description
When you're estimating something about some object that's a member of a larger group of similar objects (say, the batting average of a baseball player, who belongs to a baseball team), how should you estimate it: use measurements of the individual, or get some extra information from the group? The James-Stein estimator tells you how to combine individual and group information make predictions that, taken over the whole group, are more accurate than if you treated each individual, well, individually.
Released:
Feb 27, 2017
Format:
Podcast episode
Titles in the series (100)
Hunting for the Higgs: Machine learning and particle physics go together… by Linear Digressions