Conditional independence structures examined via minors

被引:0
|
作者
František Matúš
机构
[1] Universität Bielefeld,Statistik und Informatik
关键词
Closure Operator; Conditional Independence; Chordal Graph; Ternary Relation; Matroid Theory;
D O I
暂无
中图分类号
学科分类号
摘要
The notion of minor from matroid theory is adapted to examination of classes of conditional independence structures. For the classes of semigraphoids, pseudographoids and graphoids, finite sets of their forbidden minors are found. The separation graphoids originating from simple undirected graphs and triangulated graphs are characterized in this way neatly as well. Semigraphoids corresponding to the local Markov property of undirected graphs and to the d-separation in directed acyclic graphs are discussed. A new class of semimatroids, called simple semimatroids, is introduced and an infinite set of its forbidden minors constructed. This class cannot be characterized by a finite number of axioms. As a consequence, the class of all semimatroids and the classes of conditional independence structures of stochastic variables and of linear subspaces have infinite sets of forbidden minors and have no finite axiomatization. The closure operator of semimatroids is examined by linear programming methods. All possibilities of conditional independences among disjoint groups of four random variables are presented.
引用
收藏
页码:99 / 30
页数:-69
相关论文
共 50 条
  • [31] Conditional moments and independence
    de Paula, Aureo
    AMERICAN STATISTICIAN, 2008, 62 (03): : 219 - 221
  • [32] Conditional Moments and Independence
    Hamedani, G. G.
    Volkmer, H. W.
    AMERICAN STATISTICIAN, 2009, 63 (03): : 295 - 295
  • [33] INDEPENDENCE AND CONDITIONAL PROBABILITIES
    GOOD, IJ
    HAMDAN, MA
    AMERICAN STATISTICIAN, 1971, 25 (05): : 57 - &
  • [34] Conditional Moments and Independence
    Mukhopadhyay, Nitis
    AMERICAN STATISTICIAN, 2009, 63 (01): : 102 - 103
  • [35] CONDITIONAL AND UNCONDITIONAL INDEPENDENCE
    POTZELBERGER, K
    ECONOMETRIC THEORY, 1991, 7 (03) : 425 - 425
  • [36] Conditional independence trees
    Zhang, H
    Su, J
    MACHINE LEARNING: ECML 2004, PROCEEDINGS, 2004, 3201 : 513 - 524
  • [37] Out-of-Distribution Detection via Conditional Kernel Independence Model
    Wang, Yu
    Zou, Jingjing
    Lin, Jingyang
    Ling, Qing
    Pan, Yingwei
    Yao, Ting
    Mei, Tao
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 35, NEURIPS 2022, 2022,
  • [38] Sampling Graphical Networks via Conditional Independence Coupling of Markov Chains
    Li, Guichong
    ADVANCES IN ARTIFICIAL INTELLIGENCE, AI 2016, 2016, 9673 : 298 - 303
  • [39] Testing Conditional Independence via Quantile Regression Based Partial Copulas
    Petersen, Lasse
    Hansen, Niels Richard
    JOURNAL OF MACHINE LEARNING RESEARCH, 2021, 22
  • [40] Conditional Independence by Typing
    Gorinova, Maria, I
    Gordon, Andrew D.
    Sutton, Charles
    Vakar, Matthijs
    ACM TRANSACTIONS ON PROGRAMMING LANGUAGES AND SYSTEMS, 2022, 44 (01):