References
- Battese, G. E., Harter, R. M., & Fuller, W. A. (1988). An error-components model for prediction of county crop areas using survey and satellite data. Journal of the American Statistical Association, 83(401), 28–36.
- Boyd, S., Parikh, N., Chu, E., Peleato, B., & Eckstein, J. (2011). Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1), 1–122.
- Fan, J., & Li, R. (2001). Variable selection via nonconcave penalized likelihood and its oracle properties. Journal of the American statistical Association, 96(456), 1348–1360.
- Li, X., Zhou, Y., Zhu, Z., Liang, L., Yu, B., & Cao, W. (2018). Mapping annual urban dynamics (1985–2015) using time series of Landsat data. Remote Sensing of Environment, 216, 674–683.
- Ma, S., & Huang, J. (2017). A concave pairwise fusion approach to subgroup analysis. Journal of the American Statistical Association, 112(517), 410–423.
- Ma, S., Huang, J., & Zhang, Z (2016). Exploration of heterogeneous treatment effects via concave fusion. arXiv preprint arXiv:1607.03717.
- Molina, I., & Marhuenda, Y. (2015). sae: An R package for small area estimation. The R Journal, 7(1), 81–98.
- Nusser, S. M., & Goebel, J. J. (1997). The national resources inventory: A long-term multi-resource monitoring programme. Environmental and Ecological Statistics, 4(3), 181–204.
- Ohio Supercomputer Center (2016). Owens supercomputer. http://osc.edu/ark:/19495/hpc6h5b1.
- Pfeffermann, D. (2013). New important developments in small area estimation. Statistical Science, 28(1), 40–68.
- Rao, J. N., & Molina, I. (2015). Small area estimation. Hoboken, New Jersey: John Wiley & Sons.
- Wang, H., Li, R., & Tsai, C.-L. (2007). Tuning parameter selectors for the smoothly clipped absolute deviation method. Biometrika, 94(3), 553–568.
- Wang, X., Zhu, Z., & Zhang, H. H (2019). Spatial automatic subgroup analysis for areal data with repeated measures. arXiv preprint arXiv:11906.01853.
- Zhang, C.-H. (2010). Nearly unbiased variable selection under minimax concave penalty. The Annals of statistics, 38(2), 894–942.
- Zhu, R., Zou, G., Liang, H., & Zhu, L. (2016). Penalized weighted least squares to small area estimation. Scandinavian Journal of Statistics, 43(3), 736–756.