DEPARTMENT OF STATISTICS
Statistics Colloquium
University of Connecticut
Storrs, Connecticut
The Department of Statistics Cordially invites you to a Colloquium
Edoardo Airoldi
Associate Professor of Statistics
Harvard University
Design and analysis of experiments in the presence of
network interference
ABSTRACT
A number of scientific problems involve populations with interacting and/or interfering units. In these problems, measurements about interactions and interference (e.g., social structure and familial relations) are available, in addition to traditional measurements about unit-level outcomes and covariates. Formal statistical models for the analysis of this type of data have emerged as a major topic of interest in diverse areas of science. In this talk, I will review a few ideas and open research problems that are central to this burgeoning literature, placing emphasis on inference and other core statistical issues. Then I will turn to describe: (1) a new notion of non-ignorability that applies to network sampling designs, (2) an inference strategy that can be used to obtain valid estimates in these settings, and (3) a strategy to extend the Rubin framework for estimating causal effects in the presence of social interference.
DATE: Wednesday, March 11, 2015
TIME: 4:00 p.m.
PLACE: AUST 105
Coffee at 3:30 in AUST 326
For more information, contact: Tracy Burke at tracy.burke@uconn.edu