2 citations · 2 across the 3 of their papers we have counts for
3 papers
Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
Alexander C. Murph, G. Casey Gibson, Lauren J. Beesley +4
Infectious disease modeling and forecasting have played a key role in helping assess and respond to epidemics and pandemics. Recent work has leveraged data on disease peak infectio…
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…
Introduction to Generalized Fiducial Inference
Alexander C. Murph, Jan Hannig, Jonathan P. Williams
Fiducial inference was introduced in the first half of the 20th century by Fisher (1935) as a means to get a posterior-like distribution for a parameter without having to arbitrari…