4 citations · 5 across the 2 of their papers we have counts for
2 papers
stat.CO2017★ 1 cited
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…
stat.ME2012★ 4 cited
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…