6 citations · 8 across the 6 of their papers we have counts for
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stat.ME2021
A New Framework for Inference on Markov Population Models
Adam Walder, Ephraim M. Hanks
In this work we construct a joint Gaussian likelihood for approximate inference on Markov population models. We demonstrate that Markov population models can be approximated by a s…
stat.ME2020
A Mechanistic Model of Annual Sulfate Concentrations in the United States
Nathan B. Wikle, Ephraim M. Hanks, Lucas R. F. Henneman +1
We develop a mechanistic model to analyze the impact of sulfur dioxide emissions from coal-fired power plants on average sulfate concentrations in the central United States. A mult…
stat.ME2015★ 2 cited
A Constructive Spatio-Temporal Approach to Modeling Spatial Covariance
Ephraim M. Hanks
I present an approach for modeling areal spatial covariance by considering the stationary distribution of a spatio-temporal Markov random walk. In the areal data case, this station…