Big Data and Machine Learning in Econometrics, Finance, and Statistics, October 6-8, 2022, Chicago
SCIENTIFIC ORGANIZING COMMITTEE
Rina Foygel Barber, University of Chicago, Chao Gao, University of Chicago, Roger Lee, University of Chicago, Per Mykland, University of Chicago, Niels Nygaard, University of Chicago, Rebecca Willett, University of Chicago, Dacheng Xiu, University of Chicago, Lan Zhang, University of Illinois at Chicago.
Organized by the University of Chicago Stevanovich Center for Financial Mathematics.
- No registration needed
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- Conference location: Eckhardt Research Center (ERC), Room 161, 5640 S Ellis Ave, Chicago
CONFIRMED SPEAKERS
Speakers are added as they confirm
Yacine Ait-Sahalia, Princeton University
Rina Foygel Barber, University of Chicago
Matt Dixon, Illinois Tech
Edgar Dobriban, University of Pennsylvania
Jianqing Fan, Princeton University
Eric Ghysels, University of North Carolina at Chapel Hill
Tracy Ke, Harvard University
Bryan Kelly, Yale University
Per Mykland, University of Chicago
Mark Podolskij, University of Luxembourg
Zhao Ren, University of Pittsburgh
Emil Stoltenberg, Oslo School of Business (BI)
Pragya Sur, Harvard University
Rasmus Varneskov, Copenhagen Business School
Victor Veitch, University of Chicago
Dacheng Xiu, University of Chicago
Paolo Zaffaroni, Imperial College London
Anru Zhang, Duke University
Lan Zhang, University of Illinois Chicago