Event Details

The Event

This talk will provide detailed descriptions of a few of Professor Emerson’s research projects in Statistics and Data Science. It will not require any technical expertise to understand, so everyone can enjoy. Questions are welcome and encouraged throughout the talk. It will include interesting topics such as the Environmental Performance Index (presented at the World Economic Forum in Davos, Switzerland); the stock options backdating scandal (a collaborative effort with reporters from the Wall Street Journal); and statistical analyses of Olympic judging (figure skating and diving).

Language

The language of the workshop will be English.

Schedule

Registration & Light Meal: 6:30pm - 7:00pm
Talk & Discussion: 7:00pm - 8:30pm

Registration

Ticket: Adults / Non-Students—¥50; Free for Students with Valid Identification. Please send an email to yalecenterbeijing@yale.edu if there are any problems.

Please note: All attendee information collected by Yale Center Beijing through the event registration form on this website, or by any other means, will be kept strictly confidential. Yale Center Beijing will never distribute, sell, license, or otherwise make available for any purpose, any attendee information to any third party, unless otherwise required by law.

Speakers

  • John W. (Jay) Emerson (Professor & Director of Graduate Studies at Department of Statistics, Yale University)

    John W. (Jay) Emerson

    Professor & Director of Graduate Studies at Department of Statistics, Yale University

    John W. Emerson (Jay) is Director of Graduate Studies at Yale University's Department of Statistics. He teaches a range of graduate and undergraduate courses as well as workshops, tutorials, and short courses at all levels around the world. His interests are in computational statistics and graphics, and his applied work ranges from topics such as sports statistics to bioinformatics, environmental statistics, and Big Data challenges. He is the author of several R packages including bcp (for Bayesian change point analysis), bigmemory and sister packages (towards a scalable solution for statistical computing with massive data), and gpairs (for generalized pairs plots). His teaching style is engaging and his workshops are active, hands-on learning experiences.

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Tickets

Standard Ticket

Adults / Non-Students

Standard Price RMB 50
Student Ticket

Free for Students with Valid Identification

Standard Price Free