Assertion: angle regression | /r/HasProperty | lars
Facets:
Source sentences:
text: Lasso regularized models can be fit using a variety of techniques including subgradient methods, least-angle regression (LARS), and proximal gradient methods.
text: What is Least Angle Regression (LAR)?
text: These include coordinate descent, subgradient methods, least-angle regression (LARS), and proximal gradient methods.
text: In statistics, least-angle regression (LARS) is an algorithm for fitting linear regression models to high-dimensional data, developed by Bradley Efron, Trevor Hastie, Iain Johnstone and Robert Tibshirani.