Workshop on Environmetrics: "Spatial Modeling and Inference for Environmental Science"


This workshop focuses on state-of-the-art statistical methods motivated by important research problems in modern environmental science. While statistical methodology related to space-time modeling and computation will be an underlying theme, the focus of this workshop will be on methods that solve the most pressing problems for science and policy. Important topics covered include spatial extremes, statistical methods for complex computer models, new methods for high-dimensional spatial data, as well as statistical methods for non-Gaussian spatial processes. These methods are necessary for solving a very wide variety of problems including, but not limited to, climate science, ecology, pollution-related risk, energy and renewable resources, and disease modeling. Two half-day short courses will be offered, introducing researchers to important topics in methods for environmental science. There will also be a poster session, providing an opportunity for participation by graduate students and other young researchers.

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