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stat.ME2026
Imprecise Transition Matrices for Markov Cohort Models: Lower and Upper Expectations with a Practical Health Economic Application
Rowan Iskandar
In applied health research, Markov cohort models are built on a precisely specified transition probability matrix. However, in many applications, the available evidence -- transiti…
stat.ME2026
Probability Bound Analysis for Dependence Uncertainty in Risk and Decision Models
Rowan Iskandar
Risk and decision models often combine sparse marginal information, precisely specified probability distributions, and dependence assumptions that are only partly justified. Probab…
stat.ME2018
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…