Mislabeled metadata are especially problematic in large-scale collaborations where data analysis is far removed from data generation: researchers cannot reconfirm sample labels or resequence ...

Error-Correcting Output Codes (ECOC) provide a robust framework for decomposing multi-class classification challenges into multiple binary sub-problems. By ...

Measurement error is often a severe problem in longitudinal data such as labor-market flows. Two correction methods have been used for labor-market flows, but the ...

Artificial intelligence brings to classification a scalable, accurate alternative. Using natural language processing and ...

This paper utilizes validation data on survey response error in the Current Population Survey to generalize the standard multinomial logit model to allow for spurious ...