Spatio-temporal data are ubiquitous in engineering and the sciences, and their study is important for understanding and predicting a wide variety of processes. One of the chief difficulties in modeling spatial processes that change with time is the complexity of the dependence structures that must describe how such a process varies, and the pres...
Creator:
Wikle, Chris (University of Missouri)
Created:
2018-04-23
Contributed By:
University of Minnesota, Institute for Mathematics and its Applications.