Browse by Author or creator
2016
Bedford, Tim and Daneshkhah, Alireza and Wilson, Kevin J. (2016) Approximate uncertainty modeling in risk analysis with vine copulas. Risk Analysis, 36 (4). pp. 792-815. ISSN 1539-6924
Catterson, V.M. and McMillan, D. and Dinwoodie, I. and Revie, M. and Dowell, J. and Quigley, J. and Wilson, K. (2016) An economic impact metric for evaluating wave height forecasters for offshore wind maintenance access. Wind Energy, 19 (2). pp. 199-212. ISSN 1095-4244
2015
Cooke, R.M. and Kurowicka, D. and Wilson, K. (2015) Sampling, conditionalizing, counting, merging, searching regular vines. Journal of Multivariate Analysis. ISSN 0047-259X
Wilson, Kevin and Quigley, John (2015) Sequencing reliability growth tasks using multiattribute utility functions. In: MMR2015 - the Ninth International Conference on Mathematical Methods in Reliability, 2015-06-01 - 2015-06-04.
2014
Ganguly, Taposhri and Wilson, Kevin and Quigley, John and Cooke, Roger and Babuscia, Alessandra and Cheung, Kar-Ming (2014) Reaction to 'An approach to perform expert elicitation for engineering design risk analysis : methodology and experimental results'. Journal of the Royal Statistical Society: Series A, 177 (4). pp. 981-985. ISSN 0964-1998
Quigley, John and Wilson, Kevin; Nowakowski, Tomasz and Młyńczak, Marek and Jodejko-Pietruczuk, Anna and Werbińska-Wojciechowska, Sylwia, eds. (2014) A geometric test for the analysis of contingency tables. In: Safety and Reliability. CRC Press, pp. 1895-1901. ISBN 978-1-138-02681-0
Bedford, Tim and Wilson, Kevin J. (2014) On the construction of minimum information bivariate copula families. Annals of the Institute of Statistical Mathematics, 66 (4). pp. 703-723. ISSN 0020-3157
Bedford, Tim and Wilson, Kevin and Daneshkhah, Alireza (2014) Assessing parameter uncertainty on coupled models using minimum information methods. Reliability Engineering and System Safety, 125 (specia). pp. 3-12. ISSN 0951-8320
Zitrou, Athena and Bedford, Tim and Walls, Lesley and Wilson, Kevin and Bell, Keith; Betancourt, Uta and Ackermann, Thomas, eds. (2014) Availability growth and state-of-knowledge uncertainty simulation for offshore wind power plants. In: Proceedings of the 12th Wind Integration Workshop. UNSPECIFIED, pp. 785-788. ISBN 9783981387070
2013
Quigley, John and Wilson, Kevin and Walls, Lesley and Bedford, Tim (2013) A Bayes linear Bayes method for estimation of correlated event rates. Risk Analysis, 33 (12). 2209–2224. ISSN 1539-6924
Wilson, Kevin and Quigley, John and Bedford, Tim and Walls, Lesley (2013) Bayes linear Bayes graphical models in the design of optimal test strategies. International Journal of Performability Engineering, 9 (6). pp. 715-728. ISSN 0973-1318
Zitrou, Athena and Bedford, Tim and Walls, Lesley and Wilson, Kevin and Bell, Keith (2013) Availability growth and state-of-knowledge uncertainty simulation for offshore wind farms. In: 22nd ESREL conference 2013, 2013-09-29 - 2013-10-02.
Wilson, Kevin and Quigley, John and Bedford, Tim and Walls, Lesley (2013) Bayes linear graphical models in the design of optimal test strategies. In: 8th International Conference on Mathematical Methods in Reliability (MMR2013), 2013-07-01 - 2013-07-04. (Unpublished)
Walls, Lesley and Zitrou, Athena and Wilson, Kevin and Bedford, Tim (2013) A model for early life availability growth of a system of systems. In: 8th International Conference on Mathematical Methods in Reliability (MMR2013), 2013-07-01 - 2013-07-04.
2012
Quigley, John and Wilson, Kevin and Bedford, Tim and Walls, Lesley (2012) Bayes linear adjustments to improve empirical bayes inference for correlated event rates. In: PSAM11 & ESREL 2012, 2012-06-25 - 2012-06-29.
Bedford, Tim and Wilson, Kevin and Daneshkhah, Alireza (2012) Uncertainty modelling on coupled models using minimum information methods. In: PSAM11 & ESREL 2012, 2012-06-25 - 2012-06-29.
2010
Wilson, Kevin and Farrow, Malcolm (2010) Bayes linear kinematics in the analysis of failure rates and failure time distributions. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 224 (4). pp. 309-321.