The explosive growth of smartphone-based location data has transformed how scientists study human mobility, how cities plan transportation networks, and how public health officials track the movements ...

Researchers in biomedical studies often work with biased samples that are not selected uniformly at random from the population of interest. One example is a case-control study, where cases are ...

Length-biased and censored data arise when the probability of observing an event depends on its unobserved duration and when part of the observational history is unobserved due to study termination or ...

Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial ...

The three-part method for quantitative mineral resource assessment is used by the U.S. Geological Survey to predict, within a specified assessment area, the number of undiscovered mineral deposits and ...

verybody has a favorite color and season—preferences that seem innate, always defying reason. Auditors are no different when it comes to haphazard sampling, a process in which—ideally—they choose ...

When bias creeps into machine learning (ML) systems, it can lead to unfair outcomes, legal liabilities and reputational damage for organizations and their stakeholders. Machine learning systems are ...