In this paper, we aim to develop a Bayesian bandwidth estimation procedure to simultaneously estimate the bandwidths in the functional NW estimator of the ...
Mar 8, 2014 · Simulation studies demonstrated the estimation accuracy of the regression function and error density for the proposed Bayesian approach.
To address this issue, we present a Bayesian bandwidth estimation approach that simultaneously estimate the bandwidths in the regression function and error ...
May 9, 2013 · Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density. Han Lin Shang1,∗. University of ...
Bayesian bandwidth estimation for a nonparametric functional ...
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May 11, 2024 · A Bayesian bandwidth estimation procedure that can simultaneously estimate the bandwidths in the kernel-form error density and the functional ...
We approximate the error density of a nonparametric regression model by a mixture of Gaussian densities with means being the individual error realizations ...
Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density. https://doi.org/10.1016/j.csda.2013.05.006 · Full ...
This paper develops a sampling algorithm for bandwidth estimation in a nonparametric regression model with continuous and discrete regressors under an unknown ...
H. L. Shang (2013) Bayesian bandwidth estimation for a nonparametric functional regression model with unknown error density, Computational Statistics and Data ...
Mar 8, 2014 · Bayesian bandwidth estimation for a nonparametric functional regression model with mixed types of regressors and unknown error density. Han ...