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Publications

Publications

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  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 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
  2006 Simon P. Wilson, Niall K. Harris, Eugene J. OBrien The use of Bayesian statistics to predict patterns of spatial repeatability Journal of Sound and Vibration, 14(5), pp303-315. DOI: http://dx.doi.org/10.1016/j.trc.2006.07.002
  2010 Pepa Ramirez Cobo, Rosa E. Lillo, Simon P. Wilson and Michael P. Wiper Bayesian inference for double Pareto lognormal queues Annals of Applied Statistics, 4(3), pp1533-1557. DOI: http://dx.doi.org/10.1214/10-aoas336
  2009 T. Joyce, O. Gaffney, S. Wilson and S. Kher Modeling and adapting production environmental stress testing Journal of the Institute of Environmental Science and Technology, 52(1), pp52-62. DOI: http://dx.doi.org/10.17764/jiet.52.1.q03j8khr5g4k58q4
  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 Arnab Bhattacharya and Simon P. Wilson Inference for Discrete Latent Time Series Processes 58th Congress of the International Statistical Institute
  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
  2010 Yoon JW, Wilson SP, Mok KH A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra 13th International Conference on Artificial Intelligence and Statistics (AISTATS), 9, pp940-947
  2006 Rozenn Dahyot and Simon Wilson Robust Scale Estimation for the Generalized Gaussian Probability Density Function Advances in Methodology and Statistics (Metodoloski Zvezki), 3(1), pp21-37. DOI: https://doi.org/10.51936/elpo6579
  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
  2009 S.P. Wilson, M. Hofmann and P. White Automated identification of linked trips at trip level using electronic fare collection data Transportation Research Board of the National Academies
  2006 S.P. Wilson and Georgios Stefanou Improving CBIR by modelling the search process: a Bayesian approach European Signal Processing Conference, pp1-4
  1995 Wilson, S.P. Statistical inference from small signals in physics International Workshop on Model Uncertainty and Robustness.
  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 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 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
  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
  1991 S.P. Wilson & N.D. Singpurwalla Failure models indexed by time and usage Bulletin of the International Statistical Institute, 48. DOI: https://doi.org/10.1007/978-1-4612-1384-0_15
  1993 S.P. Wilson & N.D. Singpurwalla Models for assessing the reliability of computer software 38th Conference on Design of Experiments in Army Research and Development Testing, pp139-162
  2006 John Haslett, Sourabh Bhattacharya, Matt Whiley, Michael Salter-Townshend, Simon P. Wilson, J.R.M. Allen and B. Huntley, F.J.G. Mitchell Bayesian Palaeoclimate Reconstruction Journal of the Royal Statistical Society, Series A, 169(3), pp1-36
  2008 Simon Wilson, Julien Fauquer and Nozha Boujemma Mental image search in image databases Machine Learning for Multimedia Data, pp189-204
  2009 S.P.Wilson, B. Houlding, A. Bhattacharya and T. Forde A fast Bayesian model for a latent radio signal Workshop on Stochastic Processes for Wireless Networks. DOI: http://dx.doi.org/10.1109/wiopt.2009.5291568
  2010 Simon Wilson & R. Vatsa The variational Bayes method for inverse regression problems with an application to the palaeoclimate reconstruction Journal of Combinatorics, Information and System Sciences., 35(1-2), pp221-248
  2005 S.P. Wilson & K. Domijan A Bayesian method for automatic landmark detection in segmented images Pro- ceedings of the 22nd International Conference on Machine Learning,
  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
  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
  2008 Wilson, S.P. and Kuruoǧlu, E.E. and Salerno, E. Fully Bayesian source separation of astrophysical images modelled by mixture of Gaussians IEEE Journal on Selected Topics in Signal Processing, 2(5), pp685-696. DOI: http://dx.doi.org/10.1109/JSTSP.2008.2005320
  2010 Honari, B. and Donovan, J. and Joyce, T. and Wilson, S. and Murphy, E. Stress test optimization using an integrated production test and field reliability model Quality and Reliability Engineering International, 26(6), pp579-592. DOI: http://dx.doi.org/10.1002/qre.1081
  2009 Wilson, S.P. and Goyal, S. Robust estimation for an imperfect test and repair model using Gaussian mixtures Safety, Reliability and Risk Analysis: Theory, Methods and Applications - Proceedings of the Joint ESREL and SRA-Europe Conference, 2, pp949-954
  2006 Wilson, S.P. and Stefanou, G. Improving content-based image retrieval by modelling the search process: A Bayesian approach European Signal Processing Conference
  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
  2005 Wilson S.P, Zerubia J Unsupervised segmentation of textured satellite and aerial images with Bayesian methods , 2005-March
  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
  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
  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 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
  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
  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
  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
  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 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
  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
  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
  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
  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
  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
  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 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
  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

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