Robust Regression with Asymmetric Heavy-Tail Noise Distributions
Description
Implementation of Robust Regression tailored to deal with Asymmetric noise Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori (2002) . In addition, this implementation is extended as introducing potential feature regularization by LASSO etc.