Statistics and Data Science Seminar
Tian Zheng
Columbia University
Latent Space Model for Aggregated Relational Data
Abstract: Aggregated Relational Data (ARD) are indirect network data collected
using survey questions of the form "how many X's do you know?" It is
most often used to estimate the size of populations that are difficult
to count directly and allows researchers to choose specific
subpopulations of interest without sampling or surveying members of
these subpopulations directly. What has been under-utilized is the
indirect information on social structure captured by ARD. In this
talk, I present a latent space model and Bayesian computation
framework for inference and estimation of social structures using ARD
from non-network samples in social networks, the variation of social
structures in subnetworks, and the relations between (hard-to-reach)
subpopulations.
Wednesday October 19, 2011 at 4:00 PM in SEO 636