You are here

Publications

Publications

Year Authors Title
  2024 O'Brien, E.J. and Wilson, S. and Keenahan, J. and Ren, Y. A Bayesian Approach to the Estimation of Road Profile and Bridge Damage from a Fleet Passing Vehicle Measurements International Journal of Structural Stability and Dynamics, 24(4). DOI: http://dx.doi.org/10.1142/S0219455424500408
  2024 Wilson, S. Discussion of specifying prior distributions in reliability applications Applied Stochastic Models in Business and Industry, 40(1), pp103. DOI: http://dx.doi.org/10.1002/asmb.2795
  2024 Cunningham, J.A. and Padamsee, M. and Wilson, S. and Costello, M.J. Fungi species description rates confirm high global diversity and suggest half remain unnamed Frontiers of Biogeography, 16(2). DOI: http://dx.doi.org/10.21425/F5FBG62358
  2023 Hartebrodt, L. and Wilson, S. and Costello, M.J. Progress in the discovery of isopods (Crustacea: Peracarida)—is the description rate slowing down? PeerJ, 9. DOI: http://dx.doi.org/10.7717/peerj.15984
  2023 Siallagan, Z.L. and Sidabalok, C.M. and Islami, M.M. and Mujiono, N. and Wilson, S.P. and Pamungkas, J. Why many Indonesian marine species remain undescribed: a case study using polychaete species discovery Raffles Bulletin of Zoology, 71, pp337-365. DOI: http://dx.doi.org/10.26107/RBZ-2023-0026
  2021 Cahill, J., Cullen P, Anwer S, Wilson, S & Gaynor K. Pilot Work Related Stress (WRS), Effects on Wellbeing (Including Mental Health) & Coping Methods The International Journal of Aerospace Psychology. DOI: http://dx.doi.org/10.1080/24721840.2020.1858714
  2021 Antonio Pievatolo, Fabrizio Ruggeri, Refik Soyer and Simon Wilson Decisions in risk and reliability: an explanatory perspective Stats, 4(2), pp228-250
  2021 Chaitanya Joshi, Fabrizio Ruggeri and Simon Wilson Bayesian implementation of the fault tree analysis Wiley StatsRef: Statistics Reference Online
  2021 Markus Rao, Rachel Mandelbaum, S. Schmidt and Y. Mao A composite likelihood approach for inference under photometric redshift uncertainty Monthly Notices of the Royal Astronomical Society
  2021 Wilson, S. and DE PERSIS, C. and Bosque, J.L. and Garcia, I.H. QUANTITATIVE SYSTEM RISK ASSESSMENT FROM INCOMPLETE DATA Proceedings of the 31st European Safety and Reliability Conference, ESREL 2021, pp1998. DOI: http://dx.doi.org/10.3850/978-981-18-2016-8_705-cd
  2020 Insua D.R, Ruggeri F, Soyer R, Wilson S Advances in Bayesian decision making in reliability European Journal of Operational Research, 282, pp1-18. DOI: http://dx.doi.org/10.1016/j.ejor.2019.03.018
  2020 M. Pages, P. Bock, D. Gordon, C. Linares, B. Hereu, S.P. Wilson and M. Costello Progress in the discovery of extant and fossil Bryozoans Marine Ecology Progress Series, 635, pp71-79. DOI: http://dx.doi.org/10.3354.meps13201
  2020 Cahill, J.; Cullen, P.; Anwer, S.; Gaynor, K.; Wilson, S. The Requirements for New Tools for Use by Pilots and the Aviation Industry to Manage Risks Pertaining to Work-Related Stress (WRS) and Wellbeing, and the Ensuing Impact on Performance and Safety Technologies, 8(3), pp1-49. DOI: https://doi.org/10.3390/technologies8030040
  2019 Bhattacharya A, Wilson S.P, Soyer R A Bayesian approach to modeling mortgage default and prepayment European Journal of Operational Research, 274(3), pp1112-1124. DOI: http://dx.doi.org/10.1016/j.ejor.2018.10.047
  2019 Pamungkas J, Glasby C.J, Read G.B, Wilson S.P, Costello M.J Progress and perspectives in the discovery of polychaete worms (Annelida) of the world Helgoland Marine Research, 73(1). DOI: http://dx.doi.org/10.1186/s10152-019-0524-z
  2019 Markus Rau, Rachel Mandelbaum and Simon Wilson Estimating redshift distributions using Hierarchical Logistic Gaussian processes Monthly Notices of the Royal Astronomical Society. DOI: http://dx.doi.org/10.1093/mnras/stz3295
  2019 Pievatalo, A., Rios Insua, D. and Wilson, S.P. Foreward to the Special Issue on Games and Decisions in Reliability and Risk Applied Stochastic Models in Business and Industry, 35(3). DOI: http://dx.doi.org/10.1002/asmb.2461
  2019 Pievatolo, A. and Ríos Insua, D. and Wilson, S. Special issue of ASMBI for GDDR 2017 Applied Stochastic Models in Business and Industry, 35(3), pp398. DOI: http://dx.doi.org/10.1002/asmb.2461
  2018 Joshi, C. and Ruggeri, F. and Wilson, S.P. Prior Robustness for Bayesian Implementation of the Fault Tree Analysis IEEE Transactions on Reliability, 67(1), pp170-183. DOI: http://dx.doi.org/10.1109/TR.2017.2778241
  2018 Joan Cahill, Una Geary, Ewan Douglas, Simon Wilson, Michael Ferreira, Brian Gilbert User and design requirements and production of evidence: using incident analysis data to (1) inform user scenarios and bow ties, and (2) generate user and design requirements Cognition, Technology & Work, 20(1), pp23--47
  2018 Arfianti T, Wilson S, Costello M.J Progress in the discovery of amphipod crustaceans PeerJ, 2018(7). DOI: http://dx.doi.org/10.7717/peerj.5187
  2018 Bhattacharya A, Wilson S.P Sequential Bayesian inference for static parameters in dynamic state space models Computational Statistics and Data Analysis, 127, pp187-203. DOI: http://dx.doi.org/10.1016/j.csda.2018.05.018
  2016 De Persis, C. and Wilson, S. Using the analytic hierarchy process in the assessment of the probability for an explosion to occur during the atmospheric re-entry Proceedings of the International Astronautical Congress, IAC
  2015 Costello M.J, Lane M, Wilson S, Houlding B Factors influencing when species are first named and estimating global species richness Global Ecology and Conservation, 4, pp243-254. DOI: http://dx.doi.org/10.1016/j.gecco.2015.07.001
  2015 Quirós A, Wilson S.P, Diez R.M, Solana A.B, Hernández Tamames J.A Brain activity detection by estimating the signal-to-noise ratio of fMRI time series using dynamic linear models Digital Signal Processing. DOI: http://dx.doi.org/10.1016/j.dsp.2015.06.008
  2015 OBrien E.J, Schmidt F, Hajializadeh D, Zhou X.-Y, Enright B, Caprani C.C, Wilson S, Sheils E A review of probabilistic methods of assessment of load effects in bridges Structural Safety, 53, pp44-56. DOI: http://dx.doi.org/10.1016/j.strusafe.2015.01.002
  2015 De Persis C, Wilson S IAC-15-A6.2.11 A risk assessment tool for highly energetic break-up events during the atmospheric re-entry , 3, pp2059-2066
  2015 Bhattacharya, A. and Wilson, S. Sequential Bayesian Inference for Dynamic State Space Model Parameters Current Trends in Bayesian Methodology with Applications, pp123-134. DOI: http://dx.doi.org/10.1201/b18502-13
  2014 Costello MJ, Houlding B, Wilson SP As in other taxa, relatively fewer beetles are being described by an increasing number of authors: response to Löbl and Leschen Systematic Entomology, 39(3), pp395–399. DOI: http://dx.doi.org/10.1111/syen.12068
  2014 Wilson, S.P., Mai, T., Cogan, P., Bhattacharya, A., Aslett, L., O'Riordain, S. and Roetzer, G. Using Storm for scaleable sequential statistical inference CompStat 2014
  2014 Coolen, F.P.A., Aslett, L. and Wilson, S.P. Bayesian inference for reliability of systems and networks using the survival signature Risk Analysis. DOI: http://dx.doi.org/10.1111/risa.12228
  2014 Mai, T. and Ghosh, B. and Wilson, S. Short-term traffic-flow forecasting with auto-regressive moving average models Proceedings of the Institution of Civil Engineers: Transport, 167(4), pp232-239. DOI: http://dx.doi.org/10.1680/tran.12.00012
  2013 Mai, T., Ghosh, B., Wilson, S. Short-term traffic flow forecasting with A-SVARMA Proceedings of the Institution of Civil Engineering-Transport, 167(4), pp232-239
  2013 Costello, M.J., Wilson, S., Houlding, B. More taxonomists describing significantly fewer species per unit effort may indicate that most species have been discovered Systematic Biology, 62(4), pp616-624. DOI: http://dx.doi.org/10.1093/sysbio/syt024
  2012 Alicia Quirós Carretero and Simon P. Wilson Dependent Gaussian mixture models for source separation Journal on Advances in Signal Processing, 2012, pp239. DOI: http://dx.doi.org/10.1186/1687-6180-2012-239
  2012 Ward Appeltans, Shane T. Ahyong, Gary Anderson, Martin V. Angel, Tom Artois, Nicolas Bailly, Roger Bamber, Anthony Barber, Il... The magnitude of global marine species diversity Current Biology, 22(23), pp2189-2202. DOI: http://dx.doi.org/10.1016/j.cub.2012.09.036
  2012 Mark Costello, Simon P. Wilson and Brett Houlding Predicting total global species richness using rates of species description and estimates of taxonomic effort Systematic Biology, 61(5), pp871-883. DOI: http://dx.doi.org/10.1093/sysbio/syr080
  2012 Wilson, S.P., Goyal, S. Estimating production test properties from test measurement data Applied Stochastic Models in Business and Industry, 28(6), pp542-557. DOI: http://dx.doi.org/10.1002/asmb.930
  2011 Tiep Mai and Simon P. Wilson Short-term Traffic Flow Forecasting with Seasonal Vector Auto-Regressive Moving Average Model 58th Congress of the International Statistical Institute
  2011 Alicia Quirós Carretero and Simon P. Wilson Dependent Gaussian mixture models for source separation 19th European Signal Processing Conference. DOI: http://dx.doi.org/10.1186/1687-6180-2012-239
  2011 Louis J.M. Aslett and Simon P. Wilson Markov Chain Monte Carlo for Inference on Phase-Type Models 58th Congress of the International Statistical Institute
  2011 Brett Houlding and Simon P. Wilson Considerations on the UK re-arrest hazard rate analysis Journal of Law, Probability and Risk, 10(4), pp303-328. DOI: http://dx.doi.org/10.1093/lpr/mgr015
  2011 Simon P. Wilson and Jiwon Yoon Large-scale Bayesian ICA with application to separation of the cosmic microwave background Neural Information Processing Society workshop on Big Learning
  2011 Brett Houlding and Simon P. Wilson Considerations on the UK Re-Arrest Hazard Data Analysis (How Model Selection Can Alter Conclusions for Policy Development) 58th Congress of the International Statistical Institute
  2011 Katarina Domijan and Simon P Wilson Bayesian kernel projections for classification of high dimensional data Statistics and Computing, 21(2), pp203-. DOI: http://dx.doi.org/10.1007/s11222-009-9161-8
  2011 M. Costello & Simon P. Wilson Predicting the number of known and unknown species in European seas using rates of description Global Ecology and Biogeography, 20(2), pp319-330. DOI: http://dx.doi.org/10.1111/j.1466-8238.2010.00603.x
  2011 Simon P. Wilson, Suresh Goyal Estimating production test properties from test measurement data Applied Stochastic Models in Business and Industry. DOI: http://dx.doi.org/10.1002/asmb.930
  2011 Arnab Bhattacharya and Simon P. Wilson Inference for Discrete Latent Time Series Processes 58th Congress of the International Statistical Institute
  2010 Yoon, J.W. , Wilson, S.P. Improved mean shift algorithm with heterogeneous node weights 20th International Conference on Pattern Recognition, pp 4222-4225. DOI: http://dx.doi.org/10.1109/ICPR.2010.1026
  2010 Alicia Quirós Carretero, Raquel Montes Diez and Simon P. Wilson Bayesian spatiotemporal model of fMRI data using transfer functions Neuroimage, 52(3), pp995-1004 . DOI: http://dx.doi.org/10.1016/j.neuroimage.2009.12.085

Page: 1 of 3  Records: 118
Page 1 2 3