Welcoming remarks

Dr. Cooper Drury
Dean of the College of Arts & Science

Dr. Scott Holan
Chair of the Department of Statistics

Short Course (Only for Short Course registered participants)

• See the above drop-down menu for details

Session 1

Advances in Modeling and Uncertainty Assessment for Heat and Fire Extremes

• Alan Rhoades: Snow-eater heatwaves of western North America

• Nathan Lenssen: Climate Projection Uncertainty of Future Heat Extremes

• Reetam Majumder: Semi-parametric bulk and tail regression using spline-based neural networks

Lunch (on your own)

• Places to Eat in Columbia

Session 2

Modern Methods for Multivariate Extreme Value Modeling (I)

• Emma Simpson: A comparison of generative deep learning methods for multivariate angular simulation 

• Callum Murphy-Barltrop: Inference for multivariate extremes via a semi-parametric angular-radial model

Session 3

Modern Methods for Multivariate Extreme Value Modeling (II)

• Dan Cooley: Vector Spaces of Regularly Varying Random Variables (and maybe Inner Products) 

• Benjamin Shaby: Bayesian model averaging of risk set probabilities using a geometric representation of multivariate extremes

Session 4

Quantifying Risk of Cascading and Compound Extremes in Critical Systems

• Miguel de Carvalho: A Kolmogorov–Arnold Neural Model for Cascading Extremes 

• Mary Salvana: A Self-Organized Criticality Model of Extreme Events and Cascading Disasters 

• Mitchell Krock: Uncertainty quantification for critical energy systems during compound weather extremes via probabilistic simulation of climate data

Session 5

Next-Gen Weather Generators for Extremes: From Stochastic Models to Huge Fourier Neural Ensembles

• William Collins: Statistical Properties of Huge Ensembles of Climate Hindcasts 

• Mark Risser: Surface temperature extremes produced by huge ensembles of summer 2023 hindcasts 

• Michael Stein: What If I'm Not Only Interested in Extremes? Case Studies

Discussant: Kotamarthi, Rao

Lunch (on your own)

• Places to Eat in Columbia

Session 6

Targeting the Tail: Conditional, Censored, and Threshold-Based Approaches

• Max Thannheimer: Bayesian Inference for Functional Extreme Events Defined via Partially Unobserved Processes 

• Christian Rohrbeck: A clustering framework for conditional extremes models

• Simone Padoan: Statistical Prediction of Peaks Over a Threshold

Session 7

Modeling Precipitation Extremes: Calibration, Comparison, and Decomposition

• Jonathan Koh: Tail calibration of probabilistic forecasts 

• Joshua North: A probabilistic model based approach for matrix factorization of extreme data 

• Thomas Opitz: How to assess differences in heavy tails - Application to precipitation data

Conference Dinner

Blufftop Bistro (Free for all registered participants)

• Charter bus will be arranged to take guests from Tiger Hotel to the Bistro at 6PM

Session 8

Advances in Predictive Modeling and Tail Risk Assessment for Natural Hazards

• Kate Saunders: Data-driven recommendations for enhancing real-time natural hazard warnings 

• Moe Campos: A Structured Penalization Framework for Correcting Reporting Bias in Catastrophe Risk Models 

• Jordan Richards: Generative modelling of joint environmental extremes using normalising flows

Session 9

Scalable Inference and Spatial Analysis for Climate and Environmental Extremes

• Benjamin Seiyon Lee: Comparative Analysis of Spatial Extremes Models and Scalable Inference for Large Spatial Datasets 

• Noel Cressie: Spatio-Temporal Filtering for Mapping and Monitoring CO2 from space

• Raphaël Huser: Neural Bayes estimators for fast inference with complex models in climate data applications

Discussant: Richard Smith

Closing Remarks

• We conclude the workshop and announce the Best Poster Award