 | 2011 |
| 11 |  | Tim Bedford,
Isha Dewan,
Isaac Meilijson,
Athena Zitrou:
The signal model: A model for competing risks of opportunistic maintenance.
European Journal of Operational Research 214(3): 665-673 (2011) |
| 10 |  | John Quigley,
Gavin Hardman,
Tim Bedford,
Lesley Walls:
Merging expert and empirical data for rare event frequency estimation: Pool homogenisation for empirical Bayes models.
Rel. Eng. & Sys. Safety 96(6): 687-695 (2011) |
| 2010 |
| 9 |  | Farhad Shafti,
Tim Bedford,
Léa Amandine Deleris,
Jonathan R. M. Hosking,
Nicoleta Serban,
Haipeng Shen,
Lesley Walls:
Service operation classification for risk management.
IBM Journal of Research and Development 54(3): 7 (2010) |
| 8 |  | Athena Zitrou,
Tim Bedford,
Lesley Walls:
Bayes geometric scaling model for common cause failure rates.
Rel. Eng. & Sys. Safety 95(2): 70-76 (2010) |
| 2008 |
| 7 |  | Bram Wisse,
Tim Bedford,
John Quigley:
Expert judgement combination using moment methods.
Rel. Eng. & Sys. Safety 93(5): 675-686 (2008) |
| 6 |  | Bram Wisse,
Tim Bedford,
John Quigley:
Response to Tony O'Hagan's and Simon French' comments on 'expert judgement combination using moment methods'.
Rel. Eng. & Sys. Safety 93(5): 769-770 (2008) |
| 2007 |
| 5 |  | Michael Goldstein,
Tim Bedford:
The Bayes linear approach to inference and decision-making for a reliability programme.
Rel. Eng. & Sys. Safety 92(10): 1344-1352 (2007) |
| 4 |  | John Quigley,
Tim Bedford,
Lesley Walls:
Estimating rate of occurrence of rare events with empirical bayes: A railway application.
Rel. Eng. & Sys. Safety 92(5): 619-627 (2007) |
| 2005 |
| 3 |  | Bernd Kraan,
Tim Bedford:
Probabilistic Inversion of Expert Judgments in the Quantification of Model Uncertainty.
Management Science 51(6): 995-1006 (2005) |
| 2001 |
| 2 |  | Tim Bedford,
Roger M. Cooke:
Probability Density Decomposition for Conditionally Dependent Random Variables Modeled by Vines.
Ann. Math. Artif. Intell. 32(1-4): 245-268 (2001) |
| 1999 |
| 1 |  | Tim Bedford,
Roger M. Cooke:
A new generic model for applying MAUT.
European Journal of Operational Research 118(3): 589-604 (1999) |