Efficient estimation in the semiparametric normal regression-copula model with a focus on QTL mapping (CROSBI ID 48232)
Prilog u knjizi | ostalo
Podaci o odgovornosti
Basrak, Bojan ; Klaassen, A.J. Chris
engleski
Efficient estimation in the semiparametric normal regression-copula model with a focus on QTL mapping
The semiparametric normal copula model is studied with a correlation matrix that depends on a covariate. The bivariate version of this regression-copula model has been proposed for statistical analysis of Quantitative Trait Loci (QTL) via twin data. Appropriate linear combinations of Van der Waerden’s normal scores rank correlation coefficients yield √ n-consistent estimators of the coefficients in the correlation function, i.e. of the regression parameters. They are used to construct semiparametrically efficient estimators of the regression parameters.
semiparametric inference, Van der Waerden, √ n-consistency, linkage analysis, QTL mapping
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Podaci o prilogu
20-32.
objavljeno
Podaci o knjizi
From probability to statistics and back : high-dimensional models and processes : a Festschrift in honor of Jon A. Wellner
Banerjee, M. ; Bunea, F. ; Huang, J. ; Koltchinskii, V. ; Maathuis, M. H.
Beachwood (OH): Institute of Mathematical Statistics
2013.
978-0-940600-83-6