Modern Statistical and Machine Learning Approaches for High-Dimensional Compound Spatial Extremes
Videos from BIRS Workshop
Douglas Nychka, Colorado School of Mines
Monday May 8, 2023 01:00 - 02:30
Short course I: Spatial Statistical Learning (co-taught with Soutir Bandyopadhyay)
Douglas Nychka, Colorado School of Mines
Monday May 8, 2023 01:00 - 02:30
Short course I: Spatial Statistical Learning (co-taught with Soutir Bandyopadhyay)
Raphael Huser, King Abdullah University of Science and Technology
Monday May 8, 2023 03:00 - 04:30
Short Course II: Advances in Statistical Modeling of Spatial Extremes
Francis Zwiers, University of Victoria
Monday May 8, 2023 06:30 - 07:00
Detection and Attribution of Human Influence on Extreme Precipitation Events
Lyndsay Shand, Sandia National Laboratories
Monday May 8, 2023 07:00 - 07:30
A Multivariate Space-Time Dynamic Model for Characterizing Downstream Impacts of the 1991 Mt Pinatubo Volcanic Eruption
Ana Cebrian, University of Zaragoza
Monday May 8, 2023 07:30 - 08:00
Spatio-Temporal Analysis of the Extent of Extreme Heat Events
Steve Sain, Jupiter Intelligence
Monday May 8, 2023 08:00 - 08:30
Extremes and Climate Risk Analytics: Some Applications and Some Open Problems
Abhi Datta, Johns Hopkins University
Tuesday May 9, 2023 01:00 - 01:30
Combining Machine Learning with Traditional Geospatial Models
Andrew Zammit Mangion, University of Wollongong
Tuesday May 9, 2023 01:30 - 02:00
Neural Point Estimation for Fast Optimal Likelihood-Free Inference
Mikael Kuusela, Carnegie Mellon University
Tuesday May 9, 2023 02:00 - 02:30
Neural Likelihood Surface Estimation for Intractable Spatial Models
Sweta Rai, Colorado School of Mines
Tuesday May 9, 2023 03:00 - 03:06
Fast Parameter Estimation of GEV Distribution Using Neural Networks
Jonathan Koh, University of Bern
Tuesday May 9, 2023 03:12 - 03:18
Predicting Risks of Temperature Extremes using Large-scale Circulation Patterns with r-Pareto Processes
Janine Illian, University of Glasgow
Wednesday May 10, 2023 01:00 - 01:30
Realistically Complex Spatial Models – Communication and Accessibility
David Bolin, King Abdullah University of Science and Technology
Wednesday May 10, 2023 02:00 - 02:30
Gaussian Random Fields on Compact Metric Graphs
Sebastian Engelke, University of Geneva
Thursday May 11, 2023 01:00 - 01:30
Extremal Graphical Models: a Review of Recent Progress
Marco Oesting, Universitat Stuttgart
Thursday May 11, 2023 01:30 - 02:00
Extremes in High Dimensions
Simon Brown, Met Office
Thursday May 11, 2023 03:00 - 03:30
Future Changes in Heatwave Severity, Duration and Frequency due to Climate Change for the Most Populous Cities
Michael Wehner, Lawrence Berkeley Lab-Scientific Computing Group
Thursday May 11, 2023 03:30 - 04:00
Some Examples of Climate Science Machine Learning at Berkeley Lab
