Local polynomial trend regression for spatial data on Rd
Author:
Affiliation:
1. Center for Spatial Information Science, The University of Tokyo, 5-1-5, Kashiwanoha, Kashiwa-shi, Chiba 277-8568, Japan
2. Graduate School of Economics and Management, Tohoku University, Sendai 980-8576, Japan
Publisher
Bernoulli Society for Mathematical Statistics and Probability
Reference45 articles.
1. Hansen, B.E. (2008). Uniform convergence rates for kernel estimation with dependent data. Econometric Theory 24 726–748. 10.1017/S0266466608080304
2. Sato, K. (1999). Lévy Processes and Infinitely Divisible Distributions. Cambridge Studies in Advanced Mathematics 68. Cambridge: Cambridge Univ. Press. Translated from the 1990 Japanese original, Revised by the author.
3. Mardia, K.V. and Marshall, R.J. (1984). Maximum likelihood estimation of models for residual covariance in spatial regression. Biometrika 71 135–146. 10.1093/biomet/71.1.135
4. Rajput, B.S. and Rosiński, J. (1989). Spectral representations of infinitely divisible processes. Probab. Theory Related Fields 82 451–487. 10.1007/BF00339998
5. Calonico, S., Cattaneo, M.D. and Titiunik, R. (2014). Robust nonparametric confidence intervals for regression-discontinuity designs. Econometrica 82 2295–2326. 10.3982/ECTA11757
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