Title: Network structure inference from grouped data
Authors: Yunpeng Zhao - Arizona State University (United States) [presenting]
Abstract: Statistical network analysis typically deals with inference concerning various parameters of an observed network. In several applications, especially those from social sciences, behavioral information concerning groups of subjects are observed. In such data sets, even though a network structure is present it is not typically observed. These are referred to as implicit networks. We describe a model-based framework to uncover the implicit network structure and address related inferential questions. We also describe extensions of the methodology to time series of grouped observations.