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Stein's Paradox

Stein's Paradox

FromLinear Digressions


Stein's Paradox

FromLinear Digressions

ratings:
Length:
27 minutes
Released:
May 24, 2020
Format:
Podcast episode

Description

This is a re-release of an episode that was originally released on February 26, 2017.

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:
May 24, 2020
Format:
Podcast episode

Titles in the series (100)

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.