A Variational Approach to Robust Regression

We consider the problem of regression estimation within a Bayesian framework for models linear in the parameters and where the target variables are contaminated by 'outliers'. We introduce an explicit distribution to explain outlying observations, and utilise a variational approximation to realise a practical inference strategy.

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