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Award ID contains: 2311354

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  1. ; (, Journal of the Royal Statistical Society Series A: Statistics in Society)
    Abstract Bayesian Improved Surname Geocoding (BISG) is a ubiquitous tool for predicting race and ethnicity using an individual’s geolocation and surname. Here we demonstrate that statistical dependence of surname and geolocation within racial/ethnic categories in the US results in biases for minority subpopulations, and we introduce a raking-based improvement. Our method augments the data used by BISG—distributions of race by geolocation and race by surname—with the distribution of surname by geolocation obtained from state voter files. We validate our algorithm on state voter registration lists that contain self-identified race/ethnicity. 
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  2. ; ; (, Journal of the Royal Statistical Society Series A: Statistics in Society)
    Abstract Label bias occurs when the outcome of interest is not directly observable and instead, modelling is performed with proxy labels. When the difference between the true outcome and the proxy label is correlated with predictors, this can yield systematic disparities in predictions for different groups of interest. We propose Bayesian hierarchical measurement models to address these issues. When strong prior information about the measurement process is available, our approach improves accuracy and helps with algorithmic fairness. If prior knowledge is limited, our approach allows assessment of the sensitivity of predictions to the unknown specifications of the measurement process. This can help practitioners gauge if enough substantive information is available to guarantee the desired accuracy and avoid disparate predictions when using proxy outcomes. We demonstrate our approach through practical examples. 
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    Free, publicly-accessible full text available December 24, 2025
  3. ; ; (, Applied and Computational Harmonic Analysis)
    Full Text Available 
  4. ; ; ; (, ICLR 2024)
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ; (, Bayesian Analysis)
    Full Text Available