References
- Anselin, L. 1980. Estimation methods for spatial autoregressive structures, regional science dissertation and monograph series 8. Ithaca, NY: Cornell University.
- Barabási, A., and R. Albert. 1999. Emergence of scaling in random networks. Science 286:509–12.
- Bounova, G., and W. O. De. 2012. Overview of metrics and their correlation patterns for multiple-metric topology analysis on heterogeneous graph ensembles. Physical Review E Statistical Nonlinear & Soft Matter Physics 85 (2):1085–8.
- Chen, X., Y. Chen, and P. Xiao. 2013. The impact of sampling and network topology on the estimation of social intercorrelation. Journal of Marketing Research 50 (1):95–110.
- Clauset, A., C. R. Shalizi, and M. E. Newman. 2009. Power-law distributions in empirical data. SIAM Review 51 (4):661–703.
- Cressie, N., and C. K. Wikle. 2015. Statistics forspatio-temporal data. New Jersey: John Wiley & Sons.
- Demidenko, E. 2013. Mixed models: theory and applications with R.. New Jersey: John Wiley & Sons.
- Erdős, P., and A. Rényi. 1960. On the evolution of random graphs. Magyar Tud. Akad. Mat. Kutató Int. Közl 5:17–61.
- Fan, J., and R. Li. 2001. Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American statistical Association 96:1348–60.
- Fitzmaurice, G., N. Laird, and J. Ware. 2004. Appliedlongitudinal analysis. New Jersey: John Wiley & Sons, Inc.
- Huang, D., J. Yin, T. Shi, and H. Wang. 2015. A statistical model for social network labeling. Journal of Business & Economic Statistics. To appear.
- Lee, L. F., J. Li, and X. Lin. 2010. Specification and estimation of social interaction models with network structure. The Econometrics Journal 13 (2):145–76.
- Leenders, R. T. A. 2002. Modeling social influence through network autocorrelation: constructing the weight matrix. Social Networks 24 (1):21–47.
- LeSage, J., and R. K. Pace. 2009. Introduction to spatial econometrics. New York: Chapman & Hall.
- Nowicki, K., and T. A. B. Snijders. 2001. Estimation and prediction for stochastic blockstructures. Journal of the American Statistical Association 96:1077–87.
- Ord, J. 1975. Estimation methods for models of spatial interaction. Journal of the American Statistical Association 70:120–6.
- Porter, A. T., S. H. Holan, C. K. Wikle, and N. Cressie. 2014. Spatial Fay–Herriot models for small area estimation with functional covariates. Spatial Statistics 10:27–42.
- Vonesh, E. F. 2006. Mixed models: theory and applications. Journal of the American Statistical Association 101 (476):1724–6.
- Wall, M. M. 2004. A close look at the spatial structure implied by the CAR and SAR models. Journal of Statistical Planning and Inference 121:311–24.
- Wang, Y. J., and G. Y. Wong. 1987. Stochastic blockmodels for directed graphs. Journal of the American Statistical Association 82:8–19.
- Zhou, J., Y. Tu, Y. Chen, and H. Wang. 2016. Estimating spatial autocorrelation with sampled network data. Journal of Business & Economic Statistics. To appear.