Efficient estimation in the semiparametric normal regression-copula model with a focus on QTL mapping
| Authors |
|
|---|---|
| Publication date | 2013 |
| Journal | Institute of Mathematical Statistics Collections |
| Volume | Issue number | 9 |
| Pages (from-to) | 20-32 |
| Organisations |
|
| Abstract | 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 $\sqrt{n}$-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. |
| Document type | Article |
| Language | English |
| Published at | https://doi.org/10.1214/12-IMSCOLL903 |
| Downloads |
Efficient_estimation.pdf
(Final published version)
|
| Permalink to this page | |
