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  • Assessment of the response of pollinator abundance to environmental pressures using structured expert elicitation. Martine J Barons, Anca M Hanea, Sophia K. Wright, Katherine C R Baldock, Lena Wilfert, David Chandler, Samik Datta, Jessica Fannon, Chris Hartfield, Andrew Lucas, Jeff Ollerton, Simon G. Potts and Norman L Carreck, Journal of Apicultural research (Accepted 14 June 2018) preprint
  • Proof and Uncertainty in Causal Claims. Barons, M.J. and Wilkerson, R.L. (2018).Exchanges: The Interdisciplinary Research Journal, v5, n2, pp72-89.June 2018 Retrieved from: 


  • Eliciting Probabilistic Judgements for Integrating Decision Support Systems. Barons, M. J., Wright, S. K. & Smith, J. Q. in Elicitation: The science and art of structuring judgement, Dias LC, Morton A, Quigley J (eds), Springer, New York, 2018 (Chapter 17)Springer


  • Coherent Frameworks for Statistical Inference serving Integrating Decision Support Systems Jim Q. Smith, Martine J. Barons, Manuele Leonelli. 2016 arXiv
  • A marked renewal process for the size of a honey bee colony Aihua Xia, Richard M. Huggins, Martine J. Barons, Lois Guilloit. 2016 arXiv


  • Decision focused inference on networked probabilistic systems: with applications to food security Jim Q. Smith, Martine J. Barons, Manuele Leonelli. JSM Proceedings 2015, Seattle, Washington: American Statistical Association. 3220-3233.Proceedings
  • Measures of dynamic balance under passive vertical excitation Neil D. Evans, Stana Zivanovic, Colin Caprani, Martine J. Barons. Conference Manuscript 9th IFAC Symposium on Biological and Medical Systems, (BMS 2015) Aug. 31 - Sept. 2, 2015 Berlin, Germany Programme
  • Fitness Predicts Long-Term Survival After a Cardiovascular Event: A prospective cohort study. Martine J. Barons, Sally Turner, Nicholas Parsons, Frances Griffiths, Hugh Bethell, Scott Weich, Margaret Thorogood. BMJ Open 2015 5 doi: 10.1136/bmjopen-2015-007772 fulltext


  • Dynamic Bayesian Networks for decision support and sugar food security Barons, M.J., Zhong, X., and Smith, J.Q. (2014) Technical report, University of Warwick CRiSM research report Paper No. 14-18. CRiSM Submitted to Applied Artificial Intelligence August 2014.
  • Matching patients to an intervention for back pain: classifying patients using a latent class approach Martine J. Barons PhD, Frances E. Griffiths MRCGP PhD, Nick Parsons PhD, Anca Alba PhD, Margaret Thorogood PhD, Graham F. Medley PhD and Sarah E. Lamb PhD DOI: 10.1111/jep.12115 Journal of Evaluation in Clinical Practice, 20 (2014) 544–550 ISSN 1365-2753. pdf

    Article first published online: 24 MAR 2014


  • A Comparison of Artificial Neural Network, Latent Class Analysis and Logistic Regression for Determining Which Patients Benefit from a Cognitive Behavioural Approach to Treatment for Non-Specific Low Back Pain. Martine J. Barons, Nick Parsons, Frances Griffiths, Margaret Thorogood. 04/2013; DOI:10.1109/CICARE.2013.6583061 In proceeding of: IEEE Symposium Series on Computational Intelligence, At Singapore, Volume: 2013 CICARE2013
  • PhD Thesis: "What is the added value of using non-linear models to explore complex healthcare datasets?" Martine J. Barons. Examined 25th June 2013. Warwick Research Archive Portal (WRAP) PhD Thesis