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	Year	Authors	Title
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	2025	Cristina De Persis, José Luis Bosque, Irene Huertas, M. Remedios Sillero¿Denamiel, Simon Wilson	Quantitative System Risk Assessment From Incomplete Data With Belief Networks and Pairwise Comparison Elicitation Risk Analysis, 45(11), pp4014-4038. DOI: https://doi.org/10.1111/risa.70114
	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
	2024	Pham, D., Soodhalter, K. and Wilson S.P.	Fast solution of Sylvester-structured systems for spatial source separation of the Cosmic Microwave Background Numerical Linear Algebra with Applications. DOI: https://doi.org/10.1002/nla.2597
	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. DOI: https://doi.org/10.3390/stats4020017
	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. DOI: https://doi.org/10.1093/mnras/stab3290
	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, Ilse Bartsch, Annalisa Berta, Magdalena Błażewicz-Paszkowycz, Phil Bock, Geoff Boxshall, Christopher B. Boyko, Simone Nunes Brandão, Rod A. Bray, Niel L. Bruce, Stephen D. Cairns, Tin-Yam Chan, Lanna Cheng, Allen G. Collins, Thomas Cribb, Marco Curini-Galletti, Farid Dahdouh-Guebas, Peter J.F. Davie, Michael N. Dawson, Olivier De Clerck, Wim Decock, Sammy De Grave, Nicole J. de Voogd, Daryl P. Domning, Christian C. Emig, Christer Erséus, William Eschmeyer, Kristian Fauchald, Daphne G. Fautin, Stephen W. Feist, Charles H.J.M. Fransen, Hidetaka Furuya, Oscar Garcia-Alvarez, Sarah Gerken, David Gibson, Arjan Gittenberger, Serge Gofas, Liza Gómez-Daglio, Dennis P. Gordon, Michael D. Guiry, Francisco Hernandez, Bert W. Hoeksema, Russell R. Hopcroft, Damià Jaume, Paul Kirk, Nico Koedam, Stefan Koenemann, Jürgen B. Kolb, Reinhardt M. Kristensen, Andreas Kroh, Gretchen Lambert, David B. Lazarus, Rafael Lemaitre, Matt Longshaw, Jim Lowry, Enrique Macpherson, Laurence P. Madin, Christopher Mah, Gill Mapstone, Patsy A. McLaughlin, Jan Mees, Kenneth Meland, Charles G. Messing, Claudia E. Mills, Tina N. Molodtsova, Rich Mooi, Birger Neuhaus, Peter K.L. Ng, Claus Nielsen, Jon Norenburg, Dennis M. Opresko, Masayuki Osawa, Gustav Paulay, William Perrin, John F. Pilger, Gary C.B. Poore, Phil Pugh, Geoffrey B. Read, James D. Reimer, Marc Rius, Rosana M. Rocha, José I. Saiz-Salinas, Victor Scarabino, Bernd Schierwater, Andreas Schmidt-Rhaesa, Kareen E. Schnabel, Marilyn Schotte, Peter Schuchert, Enrico Schwabe, Hendrik Segers, Caryn Self-Sullivan, Noa Shenkar, Volker Siegel, Wolfgang Sterrer, Sabine Stöhr, Billie Swalla, Mark L. Tasker, Erik V. Thuesen, Tarmo Timm, M. Antonio Todaro, Xavier Turon, Seth Tyler, Peter Uetz, Jacob van der Land, Bart Vanhoorne, Leen P. van Ofwegen, Rob W.M. van Soest, Jan Vanaverbeke, Genefor Walker-Smith, T. Chad Walter, Alan Warren, Gary C. Williams, Simon P. Wilson, Mark J. Costello	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

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