Big Data and Machine Learning in Econometrics, Finance, and Statistics, October 3-5, 2019, Chicago
This conference on Big Data and Machine Learning in Econometrics, Finance and Statistics will bring together academics from various fields to explore the questions of when, why and how to apply machine learning and big data to the fields of econometrics, finance and statistics. Speakers will discuss new developments related to the opportunities and challenges posed by very large datasets.
- Registration to attend the conference is now closed! Please note: Unregistered guests won’t be able to access the conference room as seats are limited.
- View our Program (as of 10/1/2019)
- Peruse the Abstracts (as of 10/1/2019)
- For additional details on the conference, please visit our Logistics page.
SCIENTIFIC ORGANIZING COMMITTEE
Frank Diebold, University of Pennsylvania, Chao Gao, University of Chicago, Eric Ghysels, University of North Carolina, Roger Lee, University of Chicago, Per Mykland, University of Chicago, Niels Nygaard, University of Chicago, Dacheng Xiu, University of Chicago, Lan Zhang, University of Illinois at Chicago.
Jointly organized by the University of Chicago Stevanovich Center for Financial Mathematics, the University of North Carolina Rethinc.ML center and the University of Pennsylvania.
Speakers are added as they confirm
Andrii Babii, Econometrics, University of North Carolina at Chapel Hill
Rina Foygel Barber, Statistics, University of Chicago
Peter Carr, Finance & Risk Engineering, New York University
Andrew Dai, Machine Intelligence, Google
Frank Diebold, Economics, Finance & Statistics, University of Pennsylvania
Kay Giesecke, Management Science & Engineering, Stanford University
Jiashun Jin, Statistics, Carnegie Mellon University
Tracy Ke, Statistics, Harvard University
Bryan Kelly, Finance, Yale School of Management
Po-Ling Loh, Statistics, University of Wisconsin-Madison
Robert McCulloch, Statistics, Arizona State University
Serena Ng, Economics, Columbia University
Richard Samworth, Statistical Science, University of Cambridge, UK
Erwan Scornet, Machine Learning, Ecole Polytechnique, Fr
Hans Skaug, Mathematics, University of Bergen, Norway
Allan Timmermann, Finance and Economics, University of California San Diego
Dacheng Xiu, Econometrics and Statistics, University of Chicago
Yi Yu, Statistical Science, University of Bristol, UK
Ming Yuan, Statistics, Columbia University
Local event manager: Sylvie Bendier Decety, email@example.com, 773.834.8563