Campuses:

Spatial stochastic processes.

Friday, February 23, 2018 - 11:00am - 11:40am
Sudipto Banerjee (University of California, Los Angeles)
With the growing capabilities of Geographic Information Systems (GIS) and user-friendly software, statisticians today routinely encounter geographically referenced data containing observations from a large number of spatial locations and time points. Over the last decade, hierarchical spatiotemporal process models have become widely deployed statistical tools for researchers to better understand the complex nature of spatial and temporal variability.
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