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).
Ticket: Adults / Non-Students—¥50; Free for Students with Valid Identification. Please send an email to firstname.lastname@example.org if there are any problems.
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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.