Please save the date for the 2021 Dempster Prize seminar which will be presented by our award winner Ambarish Chattopadhyay for his paper (with Jose Zubizarreta) "On the implied weights of linear regression for causal inference". The talk will be on 22 April, 1.30pm, in room 316, Science Center. The talk will be followed by the Dempster Prize presentation and a reception for Ambarish.
Title: On the implied weights of linear regression for causal inference
The winner of the 2019 Dempster Prize, Wenshuo Wang, will present his paper "Metropolized Knockoff Sampling" in room 418D, followed by a reception on the 7th floor of the Science Center.
Meet faculty, eat pizza, and learn about the concentration and secondary field in Statistics! Our concentration advisors will be there to answer questions, and look forward to meeting you!
Classical approaches to causal inference largely rely on the assumption of “lack of interference”, according to which the outcome of an individual does not depend on the treatment assigned to others. In many applications, however, such as designing and evaluating the effectiveness of healthcare interventions that leverage social structure, assuming lack of interference is untenable...
