Abstract
Total positivity properties of multivariate densities are useful in deducing positive dependence of random vector components and related probability inequalities. In this paper we determine necessary and sufficient conditions for total positivity of absolute value multinormal variables. The results are applied to obtain positive dependence and associated inequalities for the multinormal and related distributions, e.g., the multivariate $t$ and Wishart distributions. Inequalities of this type yield bounds for multivariate confidence set probabilities.
Keywords
Related Publications
Introduction to Multivariate Analysis
Part One. Multivariate distributions. Preliminary data analysis. Part Two: Finding new underlying variables. Principal component analysis. Factor analysis. Part Three: Procedure...
Eigenvalues and Condition Numbers of Random Matrices
Given a random matrix, what condition number should be expected? This paper presents a proof that for real or complex $n \times n$ matrices with elements from a standard normal ...
Multiple Tests for Different Sets of Variables Using a Data‐Driven Ordering of Hypotheses, with an Application to Gene Expression Data
A multiple parametric test procedure is proposed, which considers tests of means of several variables. The single variables or subsets of variables are ordered according to a da...
Inference from Iterative Simulation Using Multiple Sequences
The Gibbs sampler, the algorithm of Metropolis and similar iterative simulation methods are potentially very helpful for summarizing multivariate distributions. Used naively, ho...
Some Concepts of Dependence
Problems involving dependent pairs of variables $(X, Y)$ have been studied most intensively in the case of bivariate normal distributions and of $2 \\times 2$ tables. This is du...
Publication Info
- Year
- 1981
- Type
- article
- Volume
- 9
- Issue
- 5
- Citations
- 95
- Access
- Closed
External Links
Social Impact
Social media, news, blog, policy document mentions
Citation Metrics
Cite This
Identifiers
- DOI
- 10.1214/aos/1176345583