| hbay.fun {Ake} | R Documentation |
Local Bayesian procedure for bandwidth selection
Description
The (S3) generic function hbay.fun computes the local Bayesian procedure for bandwidth selection.
Usage
hbay.fun(Vec, ...)
## Default S3 method:
hbay.fun(Vec, x = NULL, ...)
Arguments
Vec |
The data sample from which the estimate is to be computed. |
x |
The points of the grid where the density is to be estimated. |
... |
Further arguments for (non-default) methods. |
Details
hbay.fun implements the choice of the bandwidth h using the local Bayesian approach
of a kernel density estimator.
Value
Returns the bandwidth selected using the local Bayesian procedure.
Author(s)
W. E. Wansouwé, S. M. Somé and C. C. Kokonendji
References
Chen, S. X. (1999). Beta kernels estimators for density functions, Computational Statistics and Data Analysis 31, 131 - 145.
Zougab, N., Adjabi, S. and Kokonendji, C.C. (2014). Bayesian approach in nonparametric count regression with binomial kernel, Communications in Statistics - Simulation and Computation 43, 1052 - 1063.