Big Relational Data: The Path Weighted Regression Model and Its Application to Twitter Data

• In Event: Novel Approaches to Classical Issues in Estimation

Brief Overview

We introduce readers to a variety of strategies to model Big Relational Data. We propose a Path Weighted Local Regression estimation to deal with the challenges of spatial dependence, structure, and heterogeneity of big relational network data

Authors

• Ernesto F. Calvo, University of Maryland-College Park

• Joan Timoneda, University of Maryland-College Park

• Tiago Augusto Ventura, University of Maryland-College Park