What are advanced robust regression methods?

What are advanced robust regression methods?

Advanced robust regression methods are techniques used to analyze data that may contain outliers or violations of assumptions.

Can you explain how these methods differ from traditional regression?

Sure! Traditional regression methods can be heavily influenced by outliers, while robust methods aim to minimize this impact.

What are some common robust regression techniques?

Some common techniques include Huber regression, quantile regression, and least absolute deviations.

When should I use robust regression instead of regular regression?

You should consider using robust regression when your data has outliers or when the assumptions of traditional regression are not met.