A simple new approach to variable selection in regression, with application to genetic fine mapping
{{output}}
We introduce a simple new approach to variable selection in linear regression, with a particular focus on quantifying uncertainty in which variables should be selected. The approach is based on a new model - the "Sum of Single Effects" (SuSiE) model - which co... ...