hbay.fun: Local Bayesian procedure for bandwidth selection

Description Usage Arguments Details Value Author(s) References

Description

The (S3) generic function hbay.fun computes the local Bayesian procedure for bandwidth selection.

Usage

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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.


Ake documentation built on May 2, 2019, 8:20 a.m.