Fast Bayesian Functional Regression for Non-Gaussian Spatial Data
Author:
Affiliation:
1. Department of Statistics, Western Michigan University
2. Department of Statistics, The University of Chicago
3. Department of Statistics and Data Science, Yonsei University
Publisher
Institute of Mathematical Statistics
Subject
Applied Mathematics,Statistics and Probability
Reference86 articles.
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2. Antoniadis, A. and Sapatinas, T. (2007). “Estimation and inference in functional mixed-effects models.” Computational Statistics & Data Analysis, 51(10): 4793–4813.
3. Aw, A. and Cabral, E. N. (2020). ”Bayesian estimation of the functional spatial lag model.” Journal of Time Series Econometrics, 1(ahead-of-print).
4. Besag, J. (1974). “Spatial interaction and the statistical analysis of lattice systems.” Journal of the Royal Statistical Society. Series B (Methodological), 36: 192–236.
5. Boots, B. and Tiefelsdorf, M. (2000). “Global and local spatial autocorrelation in bounded regular tessellations.” Journal of Geographical Systems, 2(4): 319–348.
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