Showing stat.APShow all
3 papers · 1 filter
stat.AP2026
A scalable Bayesian double machine learning framework, with application to racial disproportionality assessment
Yu Luo, Vanessa McNealis, Yijing Li
Racial disproportionality in stop and search practices elicits substantial concerns about its societal and behavioral impacts. In London, Black individuals are about four times mor…
stat.AP2026
When to repeat a biomarker test? Decomposing sources of variation from conditionally repeated measurements
Supun Manathunga, Mart P. Janssen, Yu Luo +2
Repeating an imperfect biomarker test based on an initial result can introduce bias and influence misclassification risk. For example, in some blood donation settings, blood donors…
stat.AP2025
Bayesian inference for the Markov-modulated Poisson process with an outcome process
Yu Luo, Chris Sherlock
In medical research, understanding changes in outcome measurements is crucial for inferring shifts in health conditions. However, traditional methods often struggle with large, irr…