Session 12 Extreme Value Analysis and Prediction

Wednesday, 31 January 2024: 4:30 PM-6:00 PM
302/303 (The Baltimore Convention Center)
Host: 28th Conference on Probability and Statistics
Cochairs:
Gabriele Villarini and Yu Zhang, The University of Texas at Arlington, Department of Civil Engineering, Arlington, TX

This session seeks presentations about Extreme Value Analysis (EVA) and the prediction of rare events.

Papers:
4:30 PM
12.1
Moving beyond Exceedance Probabilities for Assessing Solar and Wind Energy Production Risks
Brent Ho, Sunairio, Baltimore, MD; and R. Cirincione, T. Ivancic, and E. Hewitt

4:45 PM
12.2
Evaluating the Predictability of Gusts Using Durst Curves: A Historical Statistical Approach with Modern Observations
Alex Roslyn Gallagher, U.S. Army Engineer Research and Development Center, Hanover, NH

5:00 PM
12.3
Comparing a spatial propinquity extreme-value model with a simple univariate generalized Pareto approach for trends in extreme precipitation
Vitaly Kholodovsky, Univ. of Maryland, College Park, Hyattsville, MD; and X. Z. Liang

5:15 PM
12.4
Identifying Hotspots of Large Hail Size in the Continental U.S.: A Bayesian Approach
Subhadarsini Das, Central Michigan Univ., Mount Pleasant, MI; and J. T. Allen

5:30 PM
12.5
Predicting Precipitation Using Stochastics and Uncertainty Quantification
Thomas Chen, Columbia Univ., New York, NY; and H. Park

12.6
Reduction on Frequency and Intensity of Extreme Thermocline Gradient from 1960-2017l

Recorded Presentation
- Indicates paper has been withdrawn from meeting
- Indicates an Award Winner
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