1 citations · 1 across the 1 of their papers we have counts for
2 papers
stat.ME2020★ 1 cited
A review of spatial causal inference methods for environmental and epidemiological applications
Brian J Reich, Shu Yang, Yawen Guan +3
The scientific rigor and computational methods of causal inference have had great impacts on many disciplines, but have only recently begun to take hold in spatial applications. Sp…
stat.AP2019
Accounting for Location Measurement Error in Imaging Data with Application to Atomic Resolution Images of Crystalline Materials
Matthew J. Miller, Matthew J. Cabral, Elizabeth C. Dickey +2
Scientists use imaging to identify objects of interest and infer properties of these objects. The locations of these objects are often measured with error, which when ignored leads…