References
- Aneiros-Pérez, G., and P. Vieu. 2006. Semi-functional partial linear regression. Statistics & Probability Letters 76 (11):1102–10. doi:https://doi.org/10.1016/j.spl.2005.12.007.
- Anselin, L. 1988. Spatial econometrics: Methods and models. Netherlands: Springer.
- Anselin, L., and A. K. Bera. 1998. Spatial dependence in linear regression models with an introduction to spatial econometrics. In Handbook of applied economics statistics, vol. 237, 237–89. New York: Marcel Dekker.
- Baíllo, A., and A. Grané. 2009. Local linear regression for functional predictor and scalar response. Journal of Multivariate Analysis 100 (1):102–11. doi:https://doi.org/10.1016/j.jmva.2008.03.008.
- Benatia, D., M. Carrasco, and J. P. Florens. 2017. Functional linear regression with functional response. Journal of Econometrics 201 (2):269–91. doi:https://doi.org/10.1016/j.jeconom.2017.08.008.
- Case, A. C. 1991. Spatial patterns in household demand. Econometrica 59 (4):953–65. doi:https://doi.org/10.2307/2938168.
- Cliff, A. D., and J. K. Ord. 1973. Spatial autocorrelation. London: Pion Limited.
- Cuevas, A., M. Febrero, and R. Fraiman. 2007. Robust estimation and classification for functional data via projection-based depth notions. Computational Statistics 22 (3):481–96. doi:https://doi.org/10.1007/s00180-007-0053-0.
- Ferraty, F., and P. Vieu. 2006. Nonparametric functional data analysis: Theory and practice. Science and Business Media: Springer.
- Gress, B. 2004. Using semi-parametric spatial autocorrelation models to improve hedonic housing price prediction. Riverside, CA: Department of Economics, University of California, Riverside.
- Kanaroglou, P. S., M. D. Adams, P. F. De Luca, D. Corr, and N. Sohel. 2013. Estimation of sulfur dioxide air pollution concentrations with a spatial autoregressive model. Atmospheric Environment 79 (2013):421–7. doi:https://doi.org/10.1016/j.atmosenv.2013.07.014.
- Kelejian, H. H., and I. R. Prucha. 1999. A generalized moments estimator for the autoregressive parameter in a spatial model. International Economic Review 40 (2):509–33. doi:https://doi.org/10.1111/1468-2354.00027.
- Lee, L. F. 2004. Asymptotic distribution of quasi-maximum likelihood estimators for spatial autoregressive models. Econometrica 72 (6):1899–925. doi:https://doi.org/10.1111/j.1468-0262.2004.00558.x.
- Malikov, E., and Y. Sun. 2016. Semiparametric smooth coefficient spatial autoregressive model. Manuscript.
- Ord, J. K. 1975. Estimation methods for models of spatial interaction. Journal of the American Statistical Association 70 (349):120–6. doi:https://doi.org/10.1080/01621459.1975.10480272.
- Ramsay, J. O., and B. W. Silverman. 2001. Functional data analysis. International Encyclopedia of the Social and Behavioral Sciences 40 (3):5822–8.
- Ramsay, J. O., and B. W. Silverman. 2007. Applied functional data analysis: Methods and case studies. New York: Springer.
- Su, L., and S. Jin. 2010. Profile quasi-maximum likelihood estimation of partially linear spatial autoregressive models. Journal of Econometrics 157 (1):18–33. doi:https://doi.org/10.1016/j.jeconom.2009.10.033.
- Sun, Y. 2016. Functional-coefficient spatial autoregressive models with nonparametric spatial weights. Journal of Econometrics 195 (1):134–53. doi:https://doi.org/10.1016/j.jeconom.2016.07.005.
- Van Gastel, R. A., and J. H. Paelinck. 1995. Computation of Box-Cox transform parameters: A new method and its application to spatial econometrics. Berlin: Springer.
- Zygmund, A. 1988. Trigonometric series. Cambridge: Cambridge University Press.