5 citations · 7 across the 6 of their papers we have counts for
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stat.ME2020
BayCANN: Streamlining Bayesian Calibration with Artificial Neural Network Metamodeling
Hawre Jalal, Fernando Alarid-Escudero
Purpose: Bayesian calibration is theoretically superior to standard direct-search algorithm because it can reveal the full joint posterior distribution of the calibrated parameters…
stat.AP2020
An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example
Fernando Alarid-Escudero, Eline M. Krijkamp, Eva A. Enns +4
Decision models can combine information from different sources to simulate the long-term consequences of alternative strategies in the presence of uncertainty. A cohort state-trans…