A Bayesian approach for nonparametric regression in the presence of correlated errors
Author:
Affiliation:
1. Department of Mathematical Statistics, Cairo University, Cairo, Egypt
2. Department of Statistics, George Washington University, Washington, DC, USA
Publisher
Informa UK Limited
Subject
Modeling and Simulation,Statistics and Probability
Link
https://www.tandfonline.com/doi/pdf/10.1080/03610918.2021.2009864
Reference20 articles.
1. A Modelling Approach for Bandwidth Selection in Kernel Density Estimation
2. Brewer, M. J. 2000. A Bayesian model for local smoothing in kernel density estimation. Statistics and Computing 10:299–309. doi: 10.1023/A:1008925425102.
3. Smoothing parameter selection methods for nonparametric regression with spatially correlated errors
4. Plug-in bandwidth selector for local polynomial regression estimator with correlated errors
5. Bayesian approach to the choice of smoothing parameter in kernel density estimation
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