Robust Bayesian regression with the forward search: theory and data analysis

Anthony C. Atkinson (), Aldo Corbellini () and Marco Riani
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Anthony C. Atkinson: The London School of Economics
Aldo Corbellini: Università di Parma

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2017, vol. 26, issue 4, No 13, 869-886

Abstract: Abstract The frequentist forward search yields a flexible and informative form of robust regression. The device of fictitious observations provides a natural way to include prior information in the search. However, this extension is not straightforward, requiring weighted regression. Bayesian versions of forward plots are used to exhibit the presence of multiple outliers in a data set from banking with 1903 observations and nine explanatory variables which shows, in this case, the clear advantages from including prior information in the forward search. Use of observation weights from frequentist robust regression is shown to provide a simple general method for robust Bayesian regression.

Keywords: Consistency factor; Fictitious observation; Forward search; Graphical methods; Outliers; Weighted regression; 62F15; 62F35; 62J05; 65C60; 68U20 (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11749-017-0542-6

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