Subadditive ergodic theorems for random sets in infinite dimensions

被引:3
作者
Hansen, JC [1 ]
Hulse, P [1 ]
机构
[1] Heriot Watt Univ, Dept Actuarial Math & Stat, Edinburgh EH14 4AS, Midlothian, Scotland
关键词
random sets; subadditive ergodic theorem;
D O I
10.1016/S0167-7152(00)00156-5
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
We prove pointwise and mean versions of the subadditive ergodic theorem for superstationary families of compact, convex random subsets of a real Banach space, extending previously known results that were obtained in finite dimensions or with additional hypotheses on the random sets. We also show how the techniques can be used to obtain the strong law of large numbers for pairwise independent random sets, as well as results in the weak topology. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:409 / 416
页数:8
相关论文
共 50 条
  • [31] A Note on Large Deviations of Random Sets and Random Upper Semicontinuous Functions
    Wang, Xia
    SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS, 2013, 190 : 165 - 172
  • [32] Aggregation of evidence from random and fuzzy sets
    Bernardini, A
    Tonon, F
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 2004, 84 (10-11): : 700 - 709
  • [33] Tracking, Identification and Classification with Random Finite Sets
    Vo, Ba Tuong
    Vo, Ba Ngu
    SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION XXII, 2013, 8745
  • [34] Tracking multiple speakers using random sets
    Vo, BN
    Singh, S
    Ma, WK
    2004 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL II, PROCEEDINGS: SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING SIGNAL PROCESSING THEORY AND METHODS, 2004, : 357 - 360
  • [35] A new thresholding technique based on random sets
    Friel, N
    Molchanov, IS
    PATTERN RECOGNITION, 1999, 32 (09) : 1507 - 1517
  • [36] Oriented distance point of view on random sets
    Dambrine, M.
    Puig, B.
    ESAIM-CONTROL OPTIMISATION AND CALCULUS OF VARIATIONS, 2020, 26
  • [37] Random and fuzzy sets in coarse data analysis
    Nguyen, Hung T.
    Wu, Berlin
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2006, 51 (01) : 70 - 85
  • [38] Using Random Sets to Model Learning in Manufacturing
    Speaker, Paul
    MacCluer, C. R.
    JOURNAL OF INFORMATICS AND MATHEMATICAL SCIENCES, 2011, 3 (03): : 201 - 210
  • [39] Samplings from the Values of Random Convex Sets
    Artstein, Zvi
    Shapira, Alon
    JOURNAL OF CONVEX ANALYSIS, 2023, 30 (02) : 441 - 452
  • [40] On the continuity and absolute continuity of random closed sets
    Capasso, V
    Villa, E
    STOCHASTIC ANALYSIS AND APPLICATIONS, 2006, 24 (02) : 381 - 397