Video: Raphael Huser, "Identifying US wildfire drivers using partially-interpretable neural networks for high-dimensional extreme quantile regression"

Video From 22w5079: Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes

Raphael Huser, King Abdullah University of Science and Technology

Thursday, June 30, 2022 07:15 - 07:45

Identifying US wildfire drivers using partially-interpretable neural networks for high-dimensional extreme quantile regression

Raphael Huser, Video: Identifying US wildfire drivers using partially-interpretable neural networks for high-dimensional extreme quantile regression

Raphael Huser, Identifying US wildfire drivers using partially-interpretable neural networks for high-dimensional extreme quantile regression, Combining Causal Inference and Extreme Value Theory in the Study of Climate Extremes and their Causes, BIRS, BIRS talk, 22w5079, math, mathematics, video

Banff International Research Station

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50M

http://www.birs.ca/events/2022/5-day-workshops/22w5079/videos

http://www.birs.ca/events/2022/5-day-workshops/22w5079/videos/watch/202206300715-Huser.html

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