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This article is obviously a jumping off point kind of article. Most people using linear regression have never even heard of things like ridge regression. So I l
by SubiculumCode 9y ago
This article is obviously a jumping off point kind of article. Most people using linear regression have never even heard of things like ridge regression. So I like the article.
However, there are at least two types of regression I'd add to the list, and a suggestion.:
1 Multivariate Distance Matrix Regression (MDMR; Anderson, 2001; McArdle & Anderson, 2001).
2. Regression with splines
3. On polynomial regression, add mention of orthogonal polynomials.
- michaelbarton 9y agoThere's also hierarchical regression, where you can estimate multilevel models. Also call fixed and random effect models. Assigning a variance coefficient for each parameter can account for heteroscedasticity.
- SubiculumCode 9y agoMixed models..the hell (+_+) I live in =_=
- syntaxfree 9y agoImportant for many real use cases such as estimating demand from prices instrumental variable regression.