i'm teaching linear regression in the spring
First thing we'll do: highlight the two *very* different motivations for linear models
1) for causal inference
2) for prediction
Breiman's "two cultures" paper is too advanced for mid-undergrads... are... See more
Karl Rohetwitter.comi'm teaching linear regression in the spring First thing we'll do: highlight the two *very* different motivations for linear models 1) for causal inference 2) for prediction Breiman's "two cultures" paper is too advanced for mid-undergrads... are there any easier readings?
I am revisiting linear regression, to prepare a small teaching module (semi-advanced) on it. The following page is, I think useful. It unifies many disparate tests of hypothesis (e.g. linear regression, t-stat, ANOVA etc) in a single framework. https://t.co/lMONfnIt91
Gappy (Giuseppe Paleologo)x.com
After a long and unsuccessful search for a statistical inference and regression textbook at the right level for our PhD students, I finally decided to write up my lecture notes as a book.
The book is publicly available if you are interested:
https://t.co/XDB34FjaMS https://t.co/jplLjn9eQ3