3 papers
stat.AP2026
Identification of physiological shock in intensive care units via Bayesian regime switching models
Emmett B. Kendall, Jonathan P. Williams, Curtis B. Storlie +3
Detection of occult hemorrhage (i.e., internal bleeding) in patients in intensive care units (ICUs) can pose significant challenges for critical care workers. Because blood loss ma…
stat.ME2025
Calibrating Bayesian Inference
Yang Liu, Jonathan P. Williams, Jan Hannig
Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information-updating rules. In many applications,…
stat.AP2023
Bayes Watch: Bayesian Change-point Detection for Process Monitoring with Fault Detection
Alexander C. Murph, Curtis B. Storlie, Patrick M. Wilson +2
When a predictive model is in production, it must be monitored in real-time to ensure that its performance does not suffer due to drift or abrupt changes to data. Ideally, this is…