MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

    37 Citations (Scopus)
    Original languageEnglish
    Title of host publicationPhilosophy of Statistics
    EditorsPrasanta S Bandyopadhyay, Malcolm R Forster
    Place of PublicationAmsterdam Netherlands
    PublisherElsevier
    Pages901 - 982
    Number of pages82
    Edition1
    ISBN (Print)9780444518620
    DOIs
    Publication statusPublished - 2011

    Cite this

    Dowe, D. L. (2011). MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness. In P. S. Bandyopadhyay, & M. R. Forster (Eds.), Philosophy of Statistics (1 ed., pp. 901 - 982). Amsterdam Netherlands: Elsevier. https://doi.org/10.1016/B978-0-444-51862-0.50030-7
    Dowe, David Leonard. / MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness. Philosophy of Statistics. editor / Prasanta S Bandyopadhyay ; Malcolm R Forster. 1. ed. Amsterdam Netherlands : Elsevier, 2011. pp. 901 - 982
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    Dowe, DL 2011, MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness. in PS Bandyopadhyay & MR Forster (eds), Philosophy of Statistics. 1 edn, Elsevier, Amsterdam Netherlands, pp. 901 - 982. https://doi.org/10.1016/B978-0-444-51862-0.50030-7

    MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness. / Dowe, David Leonard.

    Philosophy of Statistics. ed. / Prasanta S Bandyopadhyay; Malcolm R Forster. 1. ed. Amsterdam Netherlands : Elsevier, 2011. p. 901 - 982.

    Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

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    Dowe DL. MML, Hybrid Bayesian network graphical models, statistical consistency, invariance and uniqueness. In Bandyopadhyay PS, Forster MR, editors, Philosophy of Statistics. 1 ed. Amsterdam Netherlands: Elsevier. 2011. p. 901 - 982 https://doi.org/10.1016/B978-0-444-51862-0.50030-7