Some properties of canonical correlations and variates in infinite dimensions

被引:16
作者
Cupidon, J. [1 ]
Eubank, R. [2 ]
Gilliam, D. [1 ]
Ruymgaart, F. [1 ]
机构
[1] Texas Tech Univ, Lubbock, TX 79409 USA
[2] Arizona State Univ, Tempe, AZ 85278 USA
基金
美国国家科学基金会;
关键词
functional population canonical correlation; regularization of operators;
D O I
10.1016/j.jmva.2007.07.007
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
In this paper the notion of functional canonical correlation as a maximum of correlations of linear functionals is explored. It is shown that the population functional canonical correlation is in general well defined, but that it is a supremum rather than a maximum, so that a pair of canonical variates may not exist in the spaces considered. Also the relation with the maximum eigenvalue of an associated pair of operators and the corresponding eigenvectors is not in general valid. When the inverses of the operators involved are regularized, however, all of the above properties are restored. Relations between the actual population quantities and their regularized versions are also established. The sample functional canonical correlations can be regularized in a similar way, and consistency is shown at a fixed level of the regularization parameter. (C) 2007 Elsevier Inc. All rights reserved.
引用
收藏
页码:1083 / 1104
页数:22
相关论文
共 14 条
  • [1] [Anonymous], 1979, Multivariate analysis
  • [2] BICKEL P, 2006, COMMUNICATION
  • [3] Bosq D., 2000, LECT NOTES STAT, VVolume 149, P283, DOI 10.1007/978-1-4612-1154-9
  • [4] ASYMPTOTIC THEORY FOR THE PRINCIPAL COMPONENT ANALYSIS OF A VECTOR RANDOM FUNCTION - SOME APPLICATIONS TO STATISTICAL-INFERENCE
    DAUXOIS, J
    POUSSE, A
    ROMAIN, Y
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 1982, 12 (01) : 136 - 154
  • [5] Debnath L., 1999, INTRO HILBERT SPACES, VSecond
  • [6] Friedman B., 1990, Principles and techniques of applied mathematics
  • [7] Functional canonical analysis for square integrable stochastic processes
    He, GZ
    Müller, HG
    Wang, JL
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 2003, 85 (01) : 54 - 77
  • [8] Laha R. G., 1979, PROBABILITY THEORY
  • [9] LEURGANS SE, 1993, J ROY STAT SOC B MET, V55, P725
  • [10] Mas A., 2000, THESIS U PARIS 6