Skip navigation
Skip navigation

Nonparametric inference in multivariate mixtures

Hall, Peter; Neeman, Amnon; Elmore, Ryan; Pakyari, Reza


We consider mixture models in which the components of data vectors from any given subpopulation are statistically independent, or independent in blocks. We argue that if, under this condition of independence, we take a nonparametric view of the problem and allow the number of subpopulations to be quite general, the distributions and mixing proportions can often be estimated root-n consistently. Indeed, we show that, if the data are k-variate and there are p subpopulations, then for each p ≥ 2...[Show more]

CollectionsANU Research Publications
Date published: 2005
Type: Journal article
Source: Biometrika
DOI: 10.1093/biomet/92.3.667


File Description SizeFormat Image
01_Hall_Nonparametric_inference_in_2005.pdf990.16 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator