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Activity Number:
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36
- ENVR Student Paper Awards
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 3, 2020 : 10:00 AM to 11:50 AM
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Sponsor:
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Section on Statistics and the Environment
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Abstract #311150
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Title:
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Mechanistic Models for Spatial Data from Ornstein-Uhlenbeck Processes
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Author(s):
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Nathan Wikle* and Ephraim Hanks and Corwin Zigler
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Companies:
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Pennsylvania State University and The Pennsylvania State University and University of Texas at Austin
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Keywords:
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spatial statistics;
SDE;
Ornstein-Uhlenbeck process;
space-time process;
sulfate aerosols
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Abstract:
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We propose a new class of mechanistic models for spatial data observed from a generating spatio-temporal process. A multivariate Ornstein-Uhlenbeck (OU) process is used to approximate the dynamics of space-time processes, and its distributional properties are leveraged to specify novel probability models for data that are viewed as either a snapshot or an average over time of the OU process. We apply this approach to an analysis of the impact of sulfur dioxide emissions from coal-fired power plants on average sulfate concentrations in the U.S., and assess the regulatory impact of flue-gas desulfurization technologies on human exposure to sulfate aerosols.
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Authors who are presenting talks have a * after their name.
