Electronic Journal of Statistics

Efficient distribution estimation for data with unobserved sub-population identifiers

Yanyuan Ma and Yuanjia Wang

Full-text: Open access

Abstract

We study efficient nonparametric estimation of distribution functions of several scientifically meaningful sub-populations from data consisting of mixed samples where the sub-population identifiers are missing. Only probabilities of each observation belonging to a sub-population are available. The problem arises from several biomedical studies such as quantitative trait locus (QTL) analysis and genetic studies with ungenotyped relatives where the scientific interest lies in estimating the cumulative distribution function of a trait given a specific genotype. However, in these studies subjects’ genotypes may not be directly observed. The distribution of the trait outcome is therefore a mixture of several genotype-specific distributions. We characterize the complete class of consistent estimators which includes members such as one type of nonparametric maximum likelihood estimator (NPMLE) and least squares or weighted least squares estimators. We identify the efficient estimator in the class that reaches the semiparametric efficiency bound, and we implement it using a simple procedure that remains consistent even if several components of the estimator are mis-specified. In addition, our close inspections on two commonly used NPMLEs in these problems show the surprising results that the NPMLE in one form is highly inefficient, while in the other form is inconsistent. We provide simulation procedures to illustrate the theoretical results and demonstrate the proposed methods through two real data examples.

Article information

Source
Electron. J. Statist., Volume 6 (2012), 710-737.

Dates
First available in Project Euclid: 3 May 2012

Permanent link to this document
https://projecteuclid.org/euclid.ejs/1336049812

Digital Object Identifier
doi:10.1214/12-EJS690

Mathematical Reviews number (MathSciNet)
MR2988426

Zentralblatt MATH identifier
1274.62250

Subjects
Primary: 62G05: Estimation 62G20: Asymptotic properties
Secondary: 62G99: None of the above, but in this section

Keywords
Finite mixed samples robustness semiparametric efficiency nonparametric maximum likelihood estimator (NPMLE)

Citation

Ma, Yanyuan; Wang, Yuanjia. Efficient distribution estimation for data with unobserved sub-population identifiers. Electron. J. Statist. 6 (2012), 710--737. doi:10.1214/12-EJS690. https://projecteuclid.org/euclid.ejs/1336049812


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