58 citations · 211 across the 22 of their papers we have counts for
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stat.ME2022★ 31 cited
De-biasing "bias" measurement
Kristian Lum, Yunfeng Zhang, Amanda Bower
When a model's performance differs across socially or culturally relevant groups--like race, gender, or the intersections of many such groups--it is often called "biased." While mu…
stat.ME2016
Estimating the observable population size from biased samples: a new approach to population estimation with capture heterogeneity
James E. Johndrow, Kristian Lum, Daniel Manrique-Vallier
Capture-recapture methods aim to estimate the size of a closed population on the basis of multiple incomplete enumerations of individuals. In many applications, the individual prob…
stat.ME2012★ 2 cited
Bayesian variable selection for spatially dependent generalized linear models
Kristian Lum
Despite the abundance of methods for variable selection and accommodating spatial structure in regression models, there is little precedent for incorporating spatial dependence in…