Quantile Regression and Data Heterogeneity Workshop

This is a workshop that is part of our NSF-funded Focused Research Group (FRG: Collaborative Research: Quantile-Based Modeling for Large-Scale Heterogeneous Data) activities, aiming to bring researchers together to disseminate and discuss their recent work in the area of quantile regression and related methods for the analysis of heterogeneous data. The workshop takes place on February 12 - 13, 2022.

Workshop Program

View the Workshop Program

Speakers and Discussants 

• Jelena Bradic (University of California at San Diego)

• Matias D. Cattaneo (Princeton University)
• Xiaohong Chen (Yale University)
• Ivan Fernandez-Val (Boston University)
• Roger Koenker (University College London)
• Linglong Kong (University of Alberta)
• Runze Li (the Pennsylvania State University)
• Regina Liu (Rutgers University)
• Sunil Rao (University of Miami)
• Bodhi Sen (Columbia University)
• Keen Ming Tan (University of Michigan),
• Stanislav Volgushev (University of Toronto)
• Jingshen Wang (University of California at Berkeley)
• Ying Wei (Columbia University)
• Hongyu Zhao (Yale University)

Organizing Committee

• Xuming He (University of Michigan)
• Kengo Kato (Cornell University)
• Snigdha Panigrahi  (University of Michigan)
• Lan Wang (University of Miami)
• Qi Zheng (University of Louisville)

Local Committee

• Lan Wang (University of Miami)

• Doug Lehmann (University of Miami)

• Ganggang Xu (University of Miami)

Contact Us

For any workshop-related questions, please email Xuming He, xmhe@umich.edu, University of Michigan, and  Lan Wang, lanwang@mbs.miami.edu, Department of Management Science, University of Miami.