29 citations · 63 across the 5 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
stat.ME2016★ 29 cited
A New Bayesian Approach to Robustness Against Outliers in Linear Regression
Philippe Gagnon, Alain Desgagné, Mylène Bédard
Linear regression is ubiquitous in statistical analysis. It is well understood that conflicting sources of information may contaminate the inference when the classical normality of…
stat.ME2016
Bayesian Robustness to Outliers in Linear Regression and Ratio Estimation
Alain Desgagné, Philippe Gagnon
Whole robustness is a nice property to have for statistical models. It implies that the impact of outliers gradually vanishes as they approach plus or minus infinity. So far, the B…