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BIFROST -- Block recursive models induced from relevant knowledge, observations, and statistical techniques

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  • Hojsgaard, Soren
  • Thiesson, Bo

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  • Hojsgaard, Soren & Thiesson, Bo, 1995. "BIFROST -- Block recursive models induced from relevant knowledge, observations, and statistical techniques," Computational Statistics & Data Analysis, Elsevier, vol. 19(2), pages 155-175, February.
    • Handle: RePEc:eee:csdana:v:19:y:1995:i:2:p:155-175
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    References listed on IDEAS

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    1. W. M. Patefield, 1981. "An Efficient Method of Generating Random R × C Tables with Given Row and Column Totals," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 30(1), pages 91-97, March.
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    1. Hojsgaard, Soren, 2003. "Split models for contingency tables," Computational Statistics & Data Analysis, Elsevier, vol. 42(4), pages 621-645, April.
    2. Højsgaard, Søren, 1996. "Learning structures from data and experts," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 42(2), pages 143-152.
    3. Thomas, Alun & Green, Peter J., 2009. "Enumerating the decomposable neighbors of a decomposable graph under a simple perturbation scheme," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1232-1238, February.
    4. Adele Marshall & Barry Shaw, 2014. "Computational learning of the conditional phase-type (C-Ph) distribution," Computational Management Science, Springer, vol. 11(1), pages 139-155, January.
    5. Thomas, Alun, 2009. "Estimation of graphical models whose conditional independence graphs are interval graphs and its application to modelling linkage disequilibrium," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1818-1828, March.

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