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Robert Cowell's |
Monographs:
R. G. Cowell, A. P. Dawid, S. L. Lauritzen
and D. J. Spiegelhalter. Probabilistic Networks and Expert Systems.
Springer-Verlag,
Berlin-Heidelberg-New York, 1999. (321 pages.) (An
errata list for the first printing of the book may be found here.)
For this book the authors were awarded the 2002 DeGroot
Prize at the Seventh Valencia International Meeting on Bayesian
Statistics.
The prize announcement can be found here
Articles in Journals:
R. G. Cowell, S. L. Lauritzen and J. Mortera (2011), Probabilistic expert systems for handling artifacts in complex DNA mixtures, Forensic Science International: Genetics, To appear
R. G. Cowell (2009), Efficient maximum likelihood pedigree reconstruction, Theoretical Population Biology, Vol 76, pp.285 - 291
R. G. Cowell (2009), Validation of an STR peak area model, Forensic Science International: Genetics, Vol 3(4), pp.193 - 199
R. G. Cowell, S L. Lauritzen, and J. Mortera, (2008), Probabilistic modelling for DNA mixture analysis, Forensic Science International: Genetics Supplement Series, Vol 1(1), pp.640-642
R. G. Cowell , R. J. Verrall and Y. K. Yoon (2007), Modelling Operational Risk with Bayesian Networks, Journal of Risk and Insurance Vol 74 (4) pp 795-827.
R. G. Cowell, S L. Lauritzen, and J. Mortera, (2007), Identification and Separation of DNA Mixtures using Peak Area Information Forensic Science International, Vol 166, pp. 28-34
R. G. Cowell, S L. Lauritzen, and J. Mortera, (2007), A gamma model for DNA mixture analyses Bayesian Analysis Vol 2, pp. 333--348. (A synopsis of this paper appears in Bayesian Statistics 8. This is the Proceedings of the Valencia/ISBA Eighth World Meeting on Bayesian Statistics, held in Benidorm (Alicante, Spain) during 1-6 June 2006.), published by OUP, and edited by J.M.Bernado, M..J.Bayarri, J.O.Berger, A.P.Dawid, D.Heckerman, A.F.M.Smith and M.West. )
R. G. Cowell (2005), Local Propagation in Conditional Gaussian Bayesian Networks Journal of Machine Learning Research, Vol 6. pp. 1517-1550.
R. G. Cowell and P. Mostad (2003), A clustering algorithm using DNA marker information for sub-pedigree reconstruction. Journal of Forensic Sciences Vol 48, pp 1239-1248.
R. G. Cowell (2003), FINEX: A probabilistic expert system for forensic identification. Forensic Science International, Vol 134, pp 196-206
Articles in books:
R. G. Cowell (1998), Introduction to inference in Bayesian networks. in Learning in Graphical Models, (M. I. Jordan ed.). Kluwer. pp. 9-26. (paperback version available from MIT Press).
R. G. Cowell (1998), Advanced inference in Bayesian networks. in Learning in Graphical Models, (M. I. Jordan ed.). Kluwer. pp. 27-49. (paperback version available from MIT Press).
Articles in conference proceedings:
R. G. Cowell (2009) Auto generation of large Bayesian networks for problems in forensic genetics. Statistical methods for the analysis of large data setSep 2009: Book of short papers, Italian Statistical Society, pp. 39--43.
P. Thwaites, J. Q. Smith and R. G. Cowell (2008) Propagation using Chain Event Graphs. UAI-2008: The 24th Conference on Uncertainty in Artificial Intelligence, Helsinki, Finland. 10-12 July. pp. 546-553. (Editors: David McAllester and Petri Myllymaki.)
R. G. Cowell, S L. Lauritzen, and J. Mortera (2008), Probabilistic modelling for DNA mixture analysis 22nd Congress of the International Society for forensic Genetics, held at Copenhagen, Denmark, 22-24 August 2007. (Paper published in Forensic Science International:Genetics, Vol. 1, pp 640-642.).
R. G. Cowell, S L. Lauritzen, and J. Mortera, (2006) MAIES: A Tool for DNA Mixture Analysis. pdf file) Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence (eds: Rina Dechter and Thomas Richardson), pp. 90-97
R. G. Cowell (2001), Conditions Under Which Conditional Independence and Scoring Methods Lead to Identical Selection of Bayesian Network Models, (postscript file or alternatively pdf file) In Uncertainty in Artificial Intelligence: Proceedings of the Seventeenth Conference (UAI-2001) pp 91-97. Morgan Kaufmann, San Francisco
R. G. Cowell (2001), On searching for optimal classifiers among Bayesian networks, (postscript file or alternatively pdf file) In Artificial Intelligence and Statistics 2001: Proceedings of the 8th International Workshop on Artificial Intelligence and Statistics. (T. Jaakkola and T. Richardson, eds.) pp. 175-180. Morgan Kaufmann, San Francisco
R. G. Cowell (1999), Parameter estimation from incomplete data for Bayesian networks, (postscript file or alternatively pdf file) In Artificial Intelligence and Statistics 99: Proceedings of the 7th International Workshop on Artificial Intelligence and Statistics. (D. Heckerman and J. Whittaker, eds.) pp. 193-196. Morgan Kaufmann, San Francisco.
Research Reports:
Cowell R.G., Lauritzen S.L., and Mortera, J. (2006)
Identification and Separation of DNA Mixtures Using Peak
Area Information.
Statistical Research Paper 27, Sir John Cass Business
School.
Mostad P.F., Egeland T., Cowell R.G., Bosnes V. and Braaten Ø. (2005)
The Quest for a Donor :
Probability Based Methods Offer Help.
Statistical Research Paper 26, Sir John Cass Business
School.
Cowell R. G., Lauritzen S. L., and Mortera, J. (2006)
Object-oriented Bayesian networks for DNA mixtures analyses
Draft manuscript