A1475
Title: Statistical inference for network regression with random designs
Authors: Yuan Zhang - The Ohio State University (United States) [presenting]
Abstract: Network regression incorporates network data into a regression model to predict a nodal response variable. The seminal prior study studied the estimation and inference methods when the design, which refers to both the network model and the predictors, is fixed. The aim is to investigate a different scenario where the design is random. It is observed that a very different source of stochastic variation dominates. Consequently, the statistical inference procedure is very different than that in the prior study. Algorithm, theory, and numerical results are presented for this new problem.
