12 citations · 18 across the 7 of their papers we have counts for
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stat.AP2023
Modeling spatial asymmetries in teleconnected extreme temperatures
Mitchell L. Krock, Julie Bessac, Michael L. Stein
Combining strengths from deep learning and extreme value theory can help describe complex relationships between variables where extreme events have significant impacts (e.g., envir…
stat.AP2021
Nonstationary seasonal model for daily mean temperature distribution bridging bulk and tails
Mitchell Krock, Julie Bessac, Michael L. Stein +1
In traditional extreme value analysis, the bulk of the data is ignored, and only the tails of the distribution are used for inference. Extreme observations are specified as values…