betaA: Calculates coefficients for iterative bias reduction smoothers
Description
Calculates the coefficients for the iterative bias reduction smoothers. This function is not intended to be used directly.Usage
betaA(n, eigenvaluesA, tPADmdemiY, DdemiPA, ddlmini, k, index0)
Value
Returns the vector of coefficients (of length n, the number of observations.)Details
See the reference for detailed explanation of A and
D and the meaning of coefficients.References
Cornillon, P.-A.; Hengartner, N.; Jegou, N. and Matzner-Lober, E. (2012)
Iterative bias reduction: a comparative study.
Statistics and Computing. Doi: 10.1007/s11222-012-9346-4 Cornillon, P.-A.; Hengartner, N. and Matzner-Lober, E. (2013)
Recursive bias estimation for multivariate regression smoothers Recursive
bias estimation for multivariate regression smoothers.
ESAIM: Probability and Statistics. Doi: http://dx.doi.org/10.1051/ps/2013046