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Workshop on "Frontiers of Applied Statistics in Marketing"

  • 1.  Workshop on "Frontiers of Applied Statistics in Marketing"

    Posted 02-25-2017 18:34
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    The Statistics in Marketing Section of the American Statistical Association is pleased to announce a Workshop on “Frontiers of Applied Statistics in Marketing” on April 21, 2017 at Columbia University.

    The workshop is cosponsored by the Center for Financial and Business Analytics housed under the Data Science Institute at Columbia University.

    The workshop is targeted towards PhD students and other researchers interested in applications of statistics to marketing and business phenomena, broadly defined. We expect students in Marketing, Statistics, Information Systems, Operations, and Computer Science to be especially interested.

    The themes of the workshop will be Causal Inference and Machine Learning/Text Mining, and it includes tutorials and talks on these themes by distinguished marketing and statistics faculty.

    Prof. Eric Bradlow, the K.P. Chao Professor, Professor of Marketing, Statistics, Education and Economics at the University of Pennsylvania and a Fellow of the American Statistical Association, will give the keynote lecture.

    The workshop will be held from 8:30 am to 4:00 pm in Davis Auditorium in the Schapiro Center for Engineering and Physical Science Research (Schapiro CEPSR) on the Columbia University campus. This will be followed by a reception from 4:30 pm to 6:30 pm.

    The workshop is free for PhD students and costs $50 for faculty. There is a small charge of $15 for attending the reception.

    Tickets can be purchased for only the workshop or for both the workshop and the reception.

    A limited number of paid seats are available for masters students and non-academics/practitioners.

    Please purchase your tickets here. For questions, email Kinshuk Jerath at jerath@columbia.edu.

    A detailed program is attached.

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    Hui Lin
    Data Scientist
    DuPont Pioneer
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    Attachment(s)

    pdf
    FASM flyer.pdf   48 KB 1 version