Modern Statistical and Machine Learning Approaches for High-Dimensional Compound Spatial Extremes

Arriving Sunday, May 7 and departing Friday May 12, 2023

Confirmed Participants

Name Affiliation
Angulo, Jose M. University of Granada
Bailey, Maggie Colorado School of Mines
Bandyopadhyay, Soutir Colorado School of Mines
Belzile, Léo HEC Montréal
Bolin, David King Abdullah University of Science and Technology
Braunsteins, Peter University of New South Wales
Brown, Simon Met Office
Cebrian, Ana University of Zaragoza
Datta, Abhi Johns Hopkins University
Davison, Anthony Ecole Polytechnique Fédérale de Lausanne (EPFL)
De Monte, Lambert The University of Edinburgh
Engelke, Sebastian University of Geneva
Huser, Raphael King Abdullah University of Science and Technology
Illian, Janine University of Glasgow
Kakampakou, Lydia Lancaster University
Kiriliouk, Anna Université de Namur
Koh, Jonathan University of Bern
Kuusela, Mikael Carnegie Mellon University
Lahiri, Soumendra Washington University
Lenzi, Amanda University of Edinburgh
Lindgren, Finn University of Edinburgh
Mateu, Jorge Universitat Jaume I
Nychka, Douglas Colorado School of Mines
Oesting, Marco Universitat Stuttgart
Opitz, Thomas INRAE
Papastathopoulos, Ioannis University of Edinburgh
Platero, Javier University Jaume I of Castellon
Rai, Sweta Colorado School of Mines
Richards, Jordan King Abdullah University of Science and Technology
Sain, Steve Jupiter Intelligence
Shand, Lyndsay Sandia National Laboratories
Shao, Xuanjie King Abdullah University of Science and Technology
Simpson, Emma University College London
Suen, Man Ho University of Edinburgh
Vandeskog, Silius Mortensønn The Norwegian University of Science and Technology
Wadsworth, Jenny Lancaster University
Wehner, Michael Lawrence Berkeley Lab-Scientific Computing Group
Xie, Yao Georgia Institute of Technology
Zammit Mangion, Andrew University of Wollongong
Zhang, Likun University of Missouri
Zhang, Zhongwei University of Geneva
Zwiers, Frances University of Victoria