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|Type:||Artigo de periódico|
|Title:||Decomposability of high-dimensional diversity measures: Quasi-U-statistics, martingales and nonstandard asymptotics|
|Abstract:||In analyses of complex diversity, especially that arising in genetics, genomics, ecology and other high-dimensional (and sometimes low-sample-size) data models, typically subgroup decomposability (analogous to ANOVA decomposability) arises. For group divergence of diversity measures in a high-dimension low-sample-size scenario, it is shown that Hamming distance type statistics lead to a general class of quasi-U-statistics having, under the hypothesis of homogeneity, a martingale (array) property, providing a key to the study of general (nonstandard) asymptotics. Neither the stochastic independence nor homogeneity of the marginal probability laws plays a basic role. A genomic MANOVA model is presented as an illustration. (C) 2009 Elsevier Inc. All rights reserved.|
|Citation:||Journal Of Multivariate Analysis. Elsevier Inc, v. 100, n. 8, n. 1645, n. 1656, 2009.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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