On the effect of misspecifying the density ratio model

Fokianos, K. and Kaimi, I. (2006) On the effect of misspecifying the density ratio model. Annals of the Institute of Statistical Mathematics, 58 (3). pp. 475-497. ISSN 0020-3157

Full text not available from this repository.


The density ratio model specifies that the log-likelihood ratio of two unknown densities is of known linear form which depends on some finite dimensional parameters. The model can be broadened to allow for m-samples in a quite natural way. Estimation of both parametric and nonparametric part of the model is carried out by the method of empirical likelihood. However the assumed linear form has an impact on the estimation and testing for the parametric part. The goal of this study is to quantify the effect of choosing an incorrect linear form and its impact to inference. The issue of misspecification is addressed by embedding the unknown linear form to some parametric transformation family which yields ultimately to its identification. Simulated examples and data analysis integrate the presentation.

Item Type:
Journal Article
Journal or Publication Title:
Annals of the Institute of Statistical Mathematics
Uncontrolled Keywords:
ID Code:
Deposited By:
Deposited On:
03 Oct 2018 08:14
Last Modified:
22 Nov 2022 06:23