Perturbation Inequalities and Confidence Sets for Functions of a Scatter Matrix
✍ Scribed by Lutz Dümbgen
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 426 KB
- Volume
- 65
- Category
- Article
- ISSN
- 0047-259X
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✦ Synopsis
Let 7 be an unknown covariance matrix. Perturbation (in)equalities are derived for various scale-invariant functionals of 7 such as correlations (including partial, multiple and canonical correlations) or angles between eigenspaces. These results show that a particular confidence set for 7 is canonical if one is interested in simultaneous confidence bounds for these functionals. The confidence set is based on the ratio of the extreme eigenvalues of 7 &1 S, where S is an estimator for 7. Asymptotic considerations for the classical Wishart model show that the resulting confidence bounds are substantially smaller than those obtained by inverting likelihood ratio tests.
📜 SIMILAR VOLUMES
Random distribution6 of N points in a squaro were simulated by computer, interpoint and nearest neighbour distance6 were calculated and corresponding distribution functions found. The results of lo00 repetitions of this process were used to find approximate 90, 95 and 99 O/o confidence bounds for th
## Abstract We consider an interpolation problem of Nevanlinna–Pick type for matrix‐valued Carathéodory functions, where the values of the functions and its derivatives up to certain orders are given at finitely many points of the open unit disk. For the non‐degenerate case, i.e., in the particular