1 citations · 1 across the 1 of their papers we have counts for
3 papers
Approximate Bayesian Computation for an Explicit-Duration Hidden Markov Model of COVID-19 Hospital Trajectories
Gian Marco Visani, Alexandra Hope Lee, Cuong Nguyen +4
We address the problem of modeling constrained hospital resources in the midst of the COVID-19 pandemic in order to inform decision-makers of future demand and assess the societal…
Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach
Alexandra Hope Lee, Panagiotis Lymperopoulos, Joshua T. Cohen +2
We consider the problem of forecasting the daily number of hospitalized COVID-19 patients at a single hospital site, in order to help administrators with logistics and planning. We…
Active learning for efficiently training emulators of computationally expensive mathematical models
Alexandra G. Ellis, Rowan Iskandar, Christopher H. Schmid +2
An emulator is a fast-to-evaluate statistical approximation of a detailed mathematical model (simulator). When used in lieu of simulators, emulators can expedite tasks that require…