bias.par: Calculating the bias of the parameter beta

In pendensity: Density Estimation with a Penalized Mixture Approach

Description

Calculating the bias of the parameter beta.

Usage

bias.par(penden.env)

Arguments

penden.env

Containing all information, environment of pendensity()

Details

The bias of the parameter beta is calculated as the product of the penalty parameter lambda, the penalized second order derivative of the log likelihood function w.r.t. beta 'Derv.pen', the penalty matrix 'Dm' and the parameter set 'beta'.

\eqn{Bias(beta)=lambda Derv2.pen(beta)^-1 Dm beta}

The needed values are saved in the environment.

Value

Returning the bias of the parameter beta.

Author(s)

Christian Schellhase <[e-mail]>

References

Density Estimation with a Penalized Mixture Approach, Schellhase C. and Kauermann G. (2012), Computational Statistics 27 (4), p. 757-777.

pendensity documentation built on May 2, 2019, 3:58 a.m.