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Journal Abstract Search

418 related items for PubMed ID: 19833464

  • 1. Implementing statistical learning methods through Bayesian networks. Part 1: a guide to Bayesian parameter estimation using forensic science data.
    Biedermann A, Taroni F, Bozza S.
    Forensic Sci Int; 2009 Dec 15; 193(1-3):63-71. PubMed ID: 19833464
    [Abstract] [Full Text] [Related]

  • 2. Implementing statistical learning methods through Bayesian networks (Part 2): Bayesian evaluations for results of black toner analyses in forensic document examination.
    Biedermann A, Taroni F, Bozza S, Mazzella WD.
    Forensic Sci Int; 2011 Jan 30; 204(1-3):58-66. PubMed ID: 20627632
    [Abstract] [Full Text] [Related]

  • 3. Decision analysis in forensic science.
    Taroni F, Bozza S, Aitken C.
    J Forensic Sci; 2005 Jul 30; 50(4):894-905. PubMed ID: 16078494
    [Abstract] [Full Text] [Related]

  • 4. Bayesian networks for evaluating forensic DNA profiling evidence: a review and guide to literature.
    Biedermann A, Taroni F.
    Forensic Sci Int Genet; 2012 Mar 30; 6(2):147-57. PubMed ID: 21775236
    [Abstract] [Full Text] [Related]

  • 5. Impact of censoring on learning Bayesian networks in survival modelling.
    Stajduhar I, Dalbelo-Basić B, Bogunović N.
    Artif Intell Med; 2009 Nov 30; 47(3):199-217. PubMed ID: 19833488
    [Abstract] [Full Text] [Related]

  • 6. Decision-theoretic analysis of forensic sampling criteria using bayesian decision networks.
    Biedermann A, Bozza S, Garbolino P, Taroni F.
    Forensic Sci Int; 2012 Nov 30; 223(1-3):217-27. PubMed ID: 23031501
    [Abstract] [Full Text] [Related]

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  • 8. Decision theoretic properties of forensic identification: underlying logic and argumentative implications.
    Biedermann A, Bozza S, Taroni F.
    Forensic Sci Int; 2008 May 20; 177(2-3):120-32. PubMed ID: 18187279
    [Abstract] [Full Text] [Related]

  • 9. Learning about Bayesian networks for forensic interpretation: an example based on the 'the problem of multiple propositions'.
    Biedermann A, Voisard R, Taroni F.
    Sci Justice; 2012 Sep 20; 52(3):191-8. PubMed ID: 22841144
    [Abstract] [Full Text] [Related]

  • 10. Probabilistic evidential assessment of gunshot residue particle evidence (Part II): Bayesian parameter estimation for experimental count data.
    Biedermann A, Bozza S, Taroni F.
    Forensic Sci Int; 2011 Mar 20; 206(1-3):103-10. PubMed ID: 20688443
    [Abstract] [Full Text] [Related]

  • 11. Classical and Bayesian inference in neuroimaging: applications.
    Friston KJ, Glaser DE, Henson RN, Kiebel S, Phillips C, Ashburner J.
    Neuroimage; 2002 Jun 20; 16(2):484-512. PubMed ID: 12030833
    [Abstract] [Full Text] [Related]

  • 12. Using complexity for the estimation of Bayesian networks.
    Salzman P, Almudevar A.
    Stat Appl Genet Mol Biol; 2006 Jun 20; 5():Article21. PubMed ID: 17049032
    [Abstract] [Full Text] [Related]

  • 13. Probabilistic evidential assessment of gunshot residue particle evidence (Part I): likelihood ratio calculation and case pre-assessment using Bayesian networks.
    Biedermann A, Bozza S, Taroni F.
    Forensic Sci Int; 2009 Oct 30; 191(1-3):24-35. PubMed ID: 19592185
    [Abstract] [Full Text] [Related]

  • 14. Weighted lasso in graphical Gaussian modeling for large gene network estimation based on microarray data.
    Shimamura T, Imoto S, Yamaguchi R, Miyano S.
    Genome Inform; 2007 Oct 30; 19():142-53. PubMed ID: 18546512
    [Abstract] [Full Text] [Related]

  • 15. A probabilistic approach to the joint evaluation of firearm evidence and gunshot residues.
    Biedermann A, Taroni F.
    Forensic Sci Int; 2006 Nov 10; 163(1-2):18-33. PubMed ID: 16332419
    [Abstract] [Full Text] [Related]

  • 16. Bayesian approach for quantifying the uncertainty of neutron doses derived from spectrometric measurements.
    Reginatto M.
    Radiat Prot Dosimetry; 2006 Nov 10; 121(1):64-9. PubMed ID: 16877470
    [Abstract] [Full Text] [Related]

  • 17. Bayesian methodology for model uncertainty using model performance data.
    Droguett EL, Mosleh A.
    Risk Anal; 2008 Oct 10; 28(5):1457-76. PubMed ID: 18793282
    [Abstract] [Full Text] [Related]

  • 18. Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks.
    Werhli AV, Grzegorczyk M, Husmeier D.
    Bioinformatics; 2006 Oct 15; 22(20):2523-31. PubMed ID: 16844710
    [Abstract] [Full Text] [Related]

  • 19. Bayesian networks and probabilistic reasoning about scientific evidence when there is a lack of data.
    Biedermann A, Taroni F.
    Forensic Sci Int; 2006 Mar 10; 157(2-3):163-7. PubMed ID: 16271838
    [Abstract] [Full Text] [Related]

  • 20. On the relationship between deterministic and probabilistic directed Graphical models: from Bayesian networks to recursive neural networks.
    Baldi P, Rosen-Zvi M.
    Neural Netw; 2005 Oct 10; 18(8):1080-6. PubMed ID: 16157470
    [Abstract] [Full Text] [Related]

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