The expression “robust regression” denotes a set of estimation techniques that are
less sensitive than ordinary least squares (OLS) to the effect of possible influential
observations.
The main argument invoked to justify the use of robust regression is that
it provides efficiency gains in the presence of errors with heavy-tailed distribution