10 min listen
Quantile Regression
ratings:
Length:
22 minutes
Released:
Jan 28, 2019
Format:
Podcast episode
Description
Linear regression is a great tool if you want to make predictions about the mean value that an outcome will have given certain values for the inputs. But what if you want to predict the median? Or the 10th percentile? Or the 90th percentile. You need quantile regression, which is similar to ordinary least squares regression in some ways but with some really interesting twists that make it unique. This week, we’ll go over the concept of quantile regression, and also a bit about how it works and when you might use it.
Relevant links:
https://www.aeaweb.org/articles?id=10.1257/jep.15.4.143
https://eng.uber.com/analyzing-experiment-outcomes/
Relevant links:
https://www.aeaweb.org/articles?id=10.1257/jep.15.4.143
https://eng.uber.com/analyzing-experiment-outcomes/
Released:
Jan 28, 2019
Format:
Podcast episode
Titles in the series (100)
Facial Recognition with Eigenfaces: A true classic topic in ML: Facial recognition is… by Linear Digressions