Spectral analysis, without eigenvectors, for markov chains

被引:0
|
作者
Brown, Mark [1 ]
机构
[1] The City College, CUNY New York, New York,NY,10031, United States
关键词
Eigenvalues and eigenfunctions;
D O I
10.1017/S0269964800001972
中图分类号
学科分类号
摘要
引用
收藏
页码:131 / 144
相关论文
共 50 条
  • [21] Testing Symmetric Markov Chains Without Hitting
    Cherapanamjeri, Yeshwanth
    Bartlett, Peter L.
    CONFERENCE ON LEARNING THEORY, VOL 99, 2019, 99
  • [22] Importance analysis with Markov chains
    Fricks, RM
    Trivedi, KS
    ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2003 PROCEEDINGS, 2003, : 89 - 95
  • [23] INSENSITIVITY ANALYSIS OF MARKOV CHAINS
    Kocurek, Martin
    PROGRAMS AND ALGORITHMS OF NUMERICAL MATHEMATICS 15, 2010, : 107 - 112
  • [24] Perturbation analysis of Markov chains
    Heidergott, Bernd
    WODES' 08: PROCEEDINGS OF THE 9TH INTERNATIONAL WORKSHOP ON DISCRETE EVENT SYSTEMS, 2008, : 99 - 104
  • [25] ON THE STATISTICAL ANALYSIS OF MARKOV CHAINS
    GOODMAN, LA
    ANNALS OF MATHEMATICAL STATISTICS, 1955, 26 (04): : 771 - 771
  • [26] FEP Analysis and Markov Chains
    Nepveu, Manuel
    Yavuz, Ferhat
    David, Petra
    GREENHOUSE GAS CONTROL TECHNOLOGIES 9, 2009, 1 (01): : 2519 - 2523
  • [27] Spectral clustering for non-reversible Markov chains
    Fackeldey, K.
    Sikorski, A.
    Weber, M.
    COMPUTATIONAL & APPLIED MATHEMATICS, 2018, 37 (05): : 6376 - 6391
  • [28] The spectral method and ergodic theorems for general Markov chains
    Nagaev, S. V.
    IZVESTIYA MATHEMATICS, 2015, 79 (02) : 311 - 345
  • [30] Spectral clustering for non-reversible Markov chains
    K. Fackeldey
    A. Sikorski
    M. Weber
    Computational and Applied Mathematics, 2018, 37 : 6376 - 6391