4 citations · 5 across the 4 of their papers we have counts for
4 papers
Risk management in the use of published statistical results for policy decisions
Duncan Ermini Leaf
Statistical inferential results generally come with a measure of reliability for decision-making purposes. For a policy implementer, the value of implementing published policy rese…
Maximum likelihood estimation for nonembeddable Markov chains when the cycle length is shorter than the data observation interval
Duncan Ermini Leaf
Time-homogeneous Markov chains are often used as disease progression models in studies of cost-effectiveness and optimal decision-making. Maximum likelihood estimation of these mod…
Unified Method for Markov Chain Transition Model Estimation Using Incomplete Survey Data
Duncan Ermini Leaf
The Future Elderly Model and related microsimulations are modeled as Markov chains. These simulations rely on longitudinal survey data to estimate their transition models. The use…
Optimal inferential models for a Poisson mean
Ryan Martin, Duncan Ermini Leaf, Chuanhai Liu
Statistical inference on the mean of a Poisson distribution is a fundamentally important problem with modern applications in, e.g., particle physics. The discreteness of the Poisso…