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Teaching
Applied Machine Learning
Spatial Models and Extreme-Value Methods for Wildfire Risk Assessment
Daniela Cisneros, Ph.D. Student, Statistics
Sep 11, 16:00
-
17:00
B3 L5 R5220
extreme statistics
Applied Machine Learning
geospatial statistics
The statistical modeling of spatial and extreme events provides a framework for the development of techniques and models to describe natural phenomena in a variety of environmental, geoscience, and climate science applications. In a changing climate, various natural hazards, such as wildfires, are believed to have evolved in frequency, size, and spatial extent, although regional responses may vary.