CLASSES OF ORDERINGS OF MEASURES AND RELATED CORRELATION INEQUALITIES .1. MULTIVARIATE TOTALLY POSITIVE DISTRIBUTIONS
CLASSES OF ORDERINGS OF MEASURES AND RELATED CORRELATION INEQUALITIES .1. MULTIVARIATE TOTALLY POSITIVE DISTRIBUTIONS
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DOI:
10.1016/0047-259x(80)90065-2
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发表时间:
1980-01-01
影响因子:
1.6
通讯作者:
RINOTT, Y
中科院分区:
文献类型:
--
作者:
KARLIN, S;RINOTT, Y
A function f (x) defined on X= X 1× X 2×…× X n where each X i is totally ordered satisfying f (x∨ y) f (x∧ y)≥ f (x) f (y), where the lattice operations∨ and∧ refer to the usual ordering on X, is said to be multivariate totally positive of order 2 (MTP 2). A random vector Z=(Z 1, Z 2,…, Z n) of n-real components is MTP 2 if its density is MTP 2. Classes of examples include independent random variables, absolute value multinormal whose covariance matrix Σ satisfies− DΣ− 1 D with nonnegative off-diagonal elements for some diagonal matrix D, characteristic roots of random Wishart matrices, multivariate logistic, gamma and F distributions, and others. Composition and marginal operations preserve the MTP 2 properties. The MTP 2 property facilitate the characterization of bounds for confidence sets, the calculation of coverage probabilities, securing estimates of multivariate ranking, in establishing a hierarchy of correlation inequalities, and in studying monotone Markov processes. Extensions on the theory of MTP 2 kernels are presented and amplified by a wide variety of applications.