Local propagation in conditional Gaussian Bayesian networks

被引:0
|
作者
Cowell, RG [1 ]
机构
[1] Sir John Cass Business Sch, Fac Actuarial Sci & Stat, London EC1Y 8TZ, England
关键词
Bayesian networks; conditional Gaussian distributions; propagation algorithm; elimination tree;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a scheme for local computation in conditional Gaussian Bayesian networks that combines the approach of Lauritzen and Jensen (2001) with some elements of Shachter and Kenley (1989). Message passing takes place on an elimination tree structure rather than the more compact (and usual) junction tree of cliques. This yields a local computation scheme in which all calculations involving the continuous variables are performed by manipulating univariate regressions, and hence matrix operations are avoided.
引用
收藏
页码:1517 / 1550
页数:34
相关论文
共 50 条
  • [31] Path propagation for inference in Bayesian networks
    Wu, Dan
    He, Liu
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE, 2007, 4509 : 381 - +
  • [32] Local conditioning in Bayesian networks
    Diez, FJ
    [J]. ARTIFICIAL INTELLIGENCE, 1996, 87 (1-2) : 1 - 20
  • [33] Sensitivity to hyperprior parameters in Gaussian Bayesian networks
    Gomez-Villegas, M. A.
    Main, P.
    Navarro, H.
    Susi, R.
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 2014, 124 : 214 - 225
  • [34] MIXED BAYESIAN NETWORKS - A MIXTURE OF GAUSSIAN DISTRIBUTIONS
    CHEVROLAT, JP
    RUTIGLIANO, F
    GOLMARD, JL
    [J]. METHODS OF INFORMATION IN MEDICINE, 1994, 33 (05) : 535 - 542
  • [35] An extended view on lifting Gaussian Bayesian networks
    Hartwig, Mattis
    Moeller, Ralf
    Braun, Tanya
    [J]. ARTIFICIAL INTELLIGENCE, 2024, 330
  • [36] Lifted Query Answering in Gaussian Bayesian Networks
    Hartwig, Mattis
    Moeller, Ralf
    [J]. INTERNATIONAL CONFERENCE ON PROBABILISTIC GRAPHICAL MODELS, VOL 138, 2020, 138 : 233 - 244
  • [37] Smooth Conditional Transition Paths in Dynamical Gaussian Networks
    Matuszak, Micha
    Miekisz, Jacek
    Schreiber, Tomasz
    [J]. KI 2011: ADVANCES IN ARTIFICIAL INTELLIGENCE, 2011, 7006 : 204 - +
  • [38] Dimensionality reduction in unsupervised learning of conditional Gaussian networks
    Peña, JM
    Lozano, JA
    Larrañaga, P
    Inza, I
    [J]. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2001, 23 (06) : 590 - 603
  • [39] Parallel Importance Sampling in Conditional Linear Gaussian Networks
    Salmeron, Antonio
    Ramos-Lopez, Dario
    Borchani, Hanen
    Martinez, Ana M.
    Masegosa, Andres R.
    Fernandez, Antonio
    Langseth, Helge
    Madsen, Anders L.
    Nielsen, Thomas D.
    [J]. ADVANCES IN ARTIFICIAL INTELLIGENCE (CAEPIA 2015), 2015, 9422 : 36 - 46
  • [40] Modeling conditional distributions of continuous variables in Bayesian networks
    Cobb, BR
    Rumí, R
    Salmerón, A
    [J]. ADVANCES IN INTELLIGENT DATA ANALYSIS VI, PROCEEDINGS, 2005, 3646 : 36 - 45