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Graphs for Margins of Bayesian Networks

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  • Robin J. Evans

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  • Robin J. Evans, 2016. "Graphs for Margins of Bayesian Networks," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 43(3), pages 625-648, September.
    • Handle: RePEc:bla:scjsta:v:43:y:2016:i:3:p:625-648
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    File URL: http://hdl.handle.net/10.1111/sjos.12194
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    References listed on IDEAS

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    1. Mathias Drton & Chris Fox & Andreas Käufl, 2012. "Comments on: Sequences of regressions and their independencies," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 21(2), pages 255-261, June.
    2. Thomas Richardson, 2003. "Markov Properties for Acyclic Directed Mixed Graphs," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 30(1), pages 145-157, March.
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    Cited by:

    1. Fraser Thomas C., 2020. "A Combinatorial Solution to Causal Compatibility," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 22-53, January.
    2. Fraser Thomas C., 2020. "A Combinatorial Solution to Causal Compatibility," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 22-53, January.
    3. Boitani, Andrea & Punzo, Chiara, 2019. "Banks’ leverage behaviour in a two-agent new Keynesian model," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 347-359.
    4. Lorenza Rossi & Emilio Zanetti Chini, 2016. "Firms’ Dynamics and Business Cycle: New Disaggregated Data," DEM Working Papers Series 123, University of Pavia, Department of Economics and Management.
    5. Navascués Miguel & Wolfe Elie, 2020. "The Inflation Technique Completely Solves the Causal Compatibility Problem," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 70-91, January.
    6. Ioannis Ntzoufras & Claudia Tarantola & Monia Lupparelli, 2018. "Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models," DEM Working Papers Series 149, University of Pavia, Department of Economics and Management.

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