Cowell, R.

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Cowell, R. (2001). When learning Bayesian networks from data, using conditional independence tests is equivalent to a scoring metric (Report No. Statistical Research Paper No. 23). London, UK: Faculty of Actuarial Science & Insurance, City University London.City Research OnlineOriginal citation: Cowell, R. (2001). When learning Bayesian networks from data, using conditional independence tests is equivalent to a scoring metric (Report No. Statistical Research Paper No. 23). London, UK: Faculty of Actuarial Science & Insurance, City University London.Permanent City Research Online URL: http://openaccess.city.ac.uk/2367/ Copyright & reuseCity  University  London has developed City  Research Online  so that  its  users  may access the research outputs of City University London's staff. Copyright © and Moral Rights for this paper are retained by the individual author(s) and/ or other copyright holders.  All material in City Research Online is checked for eligibility for copyright before being made available in the live archive. URLs from City Research Online may be freely distributed and linked to from other web pages. Versions of researchThe version in City Research Online may differ from the final published version. Users are advised to check the Permanent City Research Online URL above for the status of the paper.EnquiriesIf you have any enquiries about any aspect of City Research Online, or if you wish to make contact  with the author(s) of this paper, please email the team at publications@city.ac.uk.                

When learning Bayesian networks from data, using conditional independence tests is equivalent to a scoring metric

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