Professor Simon Wilson
Professor of, Statistics
Biography
Simon Wilson is the Chair of Statistical Uncertainty and Risk at Trinity College Dublin. He was awarded a PhD in stochastic modeling from the George Washington University, Washington, DC, in 1993. His research interests are in applications of Bayesian methods in reliability and other fields of science and engineering, notably ecology and astronomy.
Publications and Further Research Outputs
Peer-Reviewed Publications
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), 2024
Wilson, S., Discussion of specifying prior distributions in reliability applications, Applied Stochastic Models in Business and Industry, 40, (1), 2024, p103
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), 2024
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, 2023, p337-365
Hartebrodt, L. and Wilson, S. and Costello, M.J., Progress in the discovery of isopods (Crustacea: Peracarida)â"is the description rate slowing down?, PeerJ, 9, (e15984), 2023
Wilson, S. and DE PERSIS, C. and Bosque, J.L. and Garcia, I.H., QUANTITATIVE SYSTEM RISK ASSESSMENT FROM INCOMPLETE DATA, 2021, pp1998
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
Antonio Pievatolo, Fabrizio Ruggeri, Refik Soyer and Simon Wilson, Decisions in risk and reliability: an explanatory perspective , Stats, 4, (2), 2021, p228 - 250
Chaitanya Joshi, Fabrizio Ruggeri and Simon Wilson, Bayesian implementation of the fault tree analysis, Wiley StatsRef: Statistics Reference Online, 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, 2021
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), 2020, p1 - 49
Insua D.R, Ruggeri F, Soyer R, Wilson S, Advances in Bayesian decision making in reliability, European Journal of Operational Research, 282, 2020, p1 - 18
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, 2020, p71 - 79
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), 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), 2019
Markus Rau, Rachel Mandelbaum and Simon Wilson, Estimating redshift distributions using Hierarchical Logistic Gaussian processes, Monthly Notices of the Royal Astronomical Society, 2019
Pievatolo, A. and RÃos Insua, D. and Wilson, S., Special issue of ASMBI for GDDR 2017, Applied Stochastic Models in Business and Industry, 35, (3), 2019, p398
Bhattacharya A, Wilson S.P, Soyer R, A Bayesian approach to modeling mortgage default and prepayment, European Journal of Operational Research, 274, (3), 2019, p1112 - 1124
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), 2018, p170-183
Applied Stochastic Models in Business and Industry, Wiley, [eds.], 2018-2019
Bhattacharya A, Wilson S.P, Sequential Bayesian inference for static parameters in dynamic state space models, Computational Statistics and Data Analysis, 127, 2018, p187 - 203
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), 2018, p23--47
Arfianti T, Wilson S, Costello M.J, Progress in the discovery of amphipod crustaceans, PeerJ, 2018, (7), 2018
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, 2016
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, 2015
Bhattacharya, A. and Wilson, S., Sequential Bayesian Inference for Dynamic State Space Model Parameters, 2015, 123-134pp
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, 2015, p44 - 56
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, Proceedings of the International Astronautical Congress, IAC, 2015, 3, 2015, pp2059 - 2066
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, 2015, p243 - 254
Cristina De Persis, Irene Huertas and Simon Wilson, 'Computer modelling of atmospheric re-entry of objects such as satellites', European Patent Office, 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, 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), 2014, p232-239
Simon Wilson and Peter Soutter, 'Method and system for balancing rental fleet of moveable assets', US Patent Office, 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, Proceedings of CompStat 2014, CompStat 2014, Geneva, 17 - 20/08/2014, 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), 2014, p395-399
Mai, T., Ghosh, B., Wilson, S. , Short-term traffic flow forecasting with A-SVARMA, Proceedings of the Institution of Civil Engineering-Transport, 167, (4), 2013, p232 - 239
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), 2013, p616-624
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), 2012, p871 - 883
Wilson, S.P., Goyal, S., Estimating production test properties from test measurement data, Applied Stochastic Models in Business and Industry, 28, (6), 2012, p542-557
Multivariate short-term tra ffic flow forecasting using Bayesian vector autoregressive moving average model (ed.), Transportation Research Board Annual Meeting, Proceedings of the Transportation Research Board, Washington DC., Washington DC., 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), 2012, p2189-2202
Alicia Quirós Carretero and Simon P. Wilson, Dependent Gaussian mixture models for source separation, Journal on Advances in Signal Processing, 2012, 2012, p239
Alicia Quirós Carretero and Simon P. Wilson, Dependent Gaussian mixture models for source separation, Proceedings of the 19th European Signal Processing Conference, 19th European Signal Processing Conference, Barcelona, Spain, 29/08/1 - 03/09/11, edited by Ana Pérez-Neira, Miguel Ángel Lagunas, Carles Antón-Haro , 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), 2011, p319 - 330
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, Dublin, Ireland, 21/08/11 - 26/08/11, 2011
Katarina Domijan and Simon P Wilson, Bayesian kernel projections for classification of high dimensional data, Statistics and Computing, 21, (2), 2011, p203-
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, Dublin, Ireland, 21/08/11 - 26/08/11, 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 , Granada, Spain, 16/12/11 - 17/12/11, edited by Joseph Gonzalez, Sameer Singh, Alice Zheng, Graham Taylor, James Bergstra, Misha Bilenko, Yucheng Low , 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, Dublin, Ireland, 21/08/11 - 26/08/11, 2011
Brett Houlding and Simon P. Wilson, Considerations on the UK re-arrest hazard rate analysis, Journal of Law, Probability and Risk, 10, (4), 2011, p303 - 328
Arnab Bhattacharya and Simon P. Wilson, Inference for Discrete Latent Time Series Processes, 58th Congress of the International Statistical Institute, Dublin, Ireland, 21/08/11 - 26/08/11, 2011
Simon P. Wilson, Suresh Goyal, Estimating production test properties from test measurement data, Applied Stochastic Models in Business and Industry, 2011
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), 2010, p579-592
Bahman Honari, John Donovan, Toby Joyce, Simon Wilson, Eamonn Murphy , Stress test optimisation using an integrated production test and reliability field model, Quality and Reliability Engineering International, 26, (6), 2010, p579-592
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), 2010, p1533 - 1557
Alicia Quirós Carretero, Raquel Montes Diez and Simon P. Wilson, Bayesian spatiotemporal model of fMRI data using transfer functions, Neuroimage, 52, (3), 2010, p995-1004
Yoon, J.W. , Wilson, S.P., Improved mean shift algorithm with heterogeneous node weights, Proceedings - International Conference on Pattern Recognition, 20th International Conference on Pattern Recognition, Istanbul; Turkey, 23-26 Aug, 2010, 4222-4225
Simon P. Wilson, Ercan E. Kuruoğlu and Alicia Quirós Carretero, Bayesian factor analysis using Gaussian mixture sources, with applicatin to separation of the cosmic microwave background, Proceedings of the 2010 IAPR Workshop on Cognitive Information Processing,, 2010 IAPR Workshop on Cognitive Information Processing,, Elba, Italy, 2010, pp198-202
Yoon JW, Wilson SP, Mok KH, A highly efficient blocked Gibbs sampler reconstruction of multidimensional NMR spectra, Journal of Machine Learning Research, Workshop & Conference Proceedings, 13th International Conference on Artificial Intelligence and Statistics (AISTATS), Chia Laguna Resort, Sardinia, Italy, 13-15 May 2010, edited by Yee Whye Teh, Mike Titterington , 9, 2010, pp940 - 947
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), 2010, p221 - 248
Wilson, S.P. and Goyal, S., Robust estimation for an imperfect test and repair model using Gaussian mixtures, 2, 2009, pp949-954
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, Seoul, Korea, 2009, 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, Washington DC, Jan 11 - Jan 5, 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), 2009, p52-62
Ben Flood, Brett Houlding, Simon P. Wilson, Sergiy Vilkomir., A probability model of system downtime with implications for optimal warranty design , Quality and Reliability Engineering International, 26, (1), 2009, 83 - 96
S.Wilson, T. Joyce and E. Lisay, Reliability prediction from field return data , Lifetime Data Analysis, 15, (3), 2009, p397-410
Simon P. Wilson, Reliability in the 21st Century. , Wiley Interdisciplinary Reviews: Computational Statistics, 1, (3), 2009, p338 - 341
Optimising testing in telecommunications network systems in, S. Mortorell, C. Guedes Soares and J. Barnett , Safety, Reliability and Risk Analysis: Theory, Methods and Applications, London, Taylor & Francis, 2009, pp949-954 , [S.P. Wilson., S. Goyal, J. Mosher, J. O'Brien and R. Kennedy]
Simon P. Wilson, Ercan E. Kuruoglu and Emanuele Salerno, Fully Bayesian source separation with application to the cosmic microwave background, IEEE Journal of Selected Topics in Signal Processing: special issue on Signal Processing for Astronomical and Space Research Applications, 2, (5), 2008, p685 - 696
Honari, B., Donovan, J., Joyce, T., Wilson, S., Application of generalized linear models for optimizing production stress testing , Proceedings - Annual Reliability and Maintainability Symposium, 2008 Annual Reliability and Maintainability Symposium, Las Vegas, January 28-January 3, 2008, ppart. no. 4925806
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), 2008, p685-696
Simon P. Wilson, Julien Fauqueur and Nozha Boujemaa, Mental search in image databases: Implicit versus explicit content query , Lecture Notes in Applied and Computational Mechanics, 2, 2008, p189-204
Toby Joyce, Bahan Honari, Simon Wilson, John Donovan and Oonagh Gaffney, Models for optimization of production environmental stress testing on electronic circuit packs, International Journal of Reliability, Quality and Safety Engineering, 15, (6), 2008, 555-579
Seinstra, F., Guil, N., Juhasz, Z., Wilson, S., Topic 11: Distributed and high-performance multimedia, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Euro-Par 2008 - Parallel Processing, 5168, Springer, 2008, pp844-845
Simon P. Wilson, Rozenn Dahyot and Pádraig Cunningham, Introduction to Bayesian methods and decision theory , Lecture Notes in Applied and Computational Mechanics, 1, 2008, p3-19
The mathematics of risk and reliability: a brief history in, editor(s)E. Melnick and B. Everitt , Encyclopedia of Quantitative Risk Assessment, Chichester, Wiley., 2008, pp1054-1062 , [S.P.Wilson & N.D. Singpurwalla]
S. Wilson, T. Joyce, B. Honari, J. Donovan and O. Ga ney, Models for optimization of production environmental stress testing of electronic circuit packs, International Journal of Reliability, Quality and Safety Engineering, 15, (6), 2008, p555 - 579
Usage and wear processes for warranties in, editor(s)F. Ruggeri, F. Faltin and R. Kennett , Encyclopedia of Statistics in Quality and Reliability, Chichester, Wiley, 2007, pp2097 - 2013, [Simon Wilson]
Wilson, S., Flood, B., Goyal, S., Mosher, J., Bergin, S., O'Brien, J., Kennedy, R., Parameter estimation for a model with both imperfect test and repair , Proceedings of the IEEE VLSI Test Symposium, IEEE VLSI Test Symposium, Berkeley, CA , 6-10 May 2007, IEEE, 2007, pp271-276
F. Ruggeri, R. Kennett and F. Faltin, Encyclopedia of Statistics in Quality and Reliability, Chichester, Wiley, 2007
Simon P. Wilson and Francisco Samaniego, Nonparametric analysis of the order-statistic model in software reliability, IEEE Transactions on Software Engineering, 33, (3), 2007, p198 - 208
Ruggeri, F., Kennet, R. and Faltin, F.W. (senior editors), Encyclopedia of Statistics in Quality and Reliability, 1, Chichester, Wiley, 2007
Simon P. Wilson and Michael Wiper, A Bayesian analysis of beta testing, Test, 15, (1), 2006, p227 - 255
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), 2006, p303-315
Bayesian approaches to content-based image retrieval in, editor(s)S.K. Upadhyay, U. Singh, D.K. Dey , Bayesian Statistics and its Applications, New Delhi, Anamaya, 2006, pp455 - 465, [Simon. P Wilson and Georgios Stefanou]
S.P. Wilson, E. Lisay and T. Joyce, Bayesian analysis of field return data when installation and failure times are unknown, Proceedings of the European Safety and Reliability Conference, Estoril, Portugal., 2006
Wilson, S.P., Harris, N.K., OBrien, E.J., The use of Bayesian statistics to predict patterns of spatial repeatability , Transportation Research Part C: Emerging Technologies, 14, (5), 2006, p303-315
J. Haslett, M. Whiley, S. Bhattacharya, M. Salter-Townshend, J.R.M. Allen, B. Huntley, F.J.G. Mitchell and S.P. Wilson, Bayesian palaeoclimate reconstruction, Journal of the Royal Statistical Society, Series A, 169, (3), 2006, p395 - 438
Simon Wilson, Suresh Goyal and Jim Mosher, Parameter Estimation for Realistic Test and Repair Models, 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), 2006, p21 - 37
Wilson, S.P. and Stefanou, G., Improving content-based image retrieval by modelling the search process: A Bayesian approach, 2006
Wilson S.P, Zerubia J, Unsupervised segmentation of textured satellite and aerial images with Bayesian methods, European Signal Processing Conference, 2005, 2005-March, 2005
S.P. Wilson & K. Domijan, A Bayesian method for automatic landmark detection in segmented images, Proceedings of the 22nd International Conference on Machine Learning, , Pro- ceedings of the 22nd International Conference on Machine Learning, , Bonn, Germany., 2005
Bannister, R. Gregg, D. Wilson, S. Nisbet, A. , FPGA implementation of an Image Segmentation algorithm using logarithmic arithmetic, Proceedings of the Midwest Symposium on Circuits and Systems, Midwest Symposium on Circuits and Systems, Covington, KY , 7-10 Aug, 2005, 2005, pp810-813
Matt Whiley and Simon P. Wilson, Parallel algorithms for Markov chain Monte Carlo methods in latent spatial Gaussian models, Statistics and Computing, 14, (3), 2004, p171 - 179
Simon P. Wilson and Francisco Samaniego, Non-parametric methods in software reliability, Third International Conference on Mathematical Models in Reliability, Trondheim, Norway, July 2002, edited by B. Lindqvist and K.A. Doksum , World Scientific Publishing, 2003, pp667 - 670
Dina Melas and Simon P. Wilson, Double Markov random fields and Bayesian image segmentation, IEEE Transactions on Signal Processing, 50, (2), 2002, p357 - 365
Wilson, S.P., Stefanou, G., Image segmentation using the double Markov random field, with application to land use estimation , Proceedings of IEEE International Conference on Image Processing, IEEE International Conference on Image Processing, 1, IEEE, 2001, pp742-745
Kevin McDaid and Simon P. Wilson, Deciding how long to test software, The Statistician, 50, (2), 2001, p117 - 134
Failure models indexed by time and usage in, editor(s)N. Limnios and M. S. Nikulin , Recent Advances in Reliability Theory, Boston, Birkha user., 2000, pp229-244. , [Wilson, S.P.]
Prior robustness in some common software reliability models in, editor(s)D. Rios Insua and F. Ruggeri , Robust Bayesian Analysis, New York, Springer, 2000, pp385 - 400, [Simon P. Wilson and Mike Wiper]
Simon P. Wilson and D. Taylor, Statistical analysis and prediction with short fatigue crack data using a population model, Fatigue and Fracture of Engineering Materials and Structures, 22, (1), 1999, p67 - 76
Simon P. Wilson and Nozer D. Singpurwalla, Failure models indexed by two scales, Advances in Applied Probability, 30, (4), 1998, p1058 - 1072
Reliability modelling and inference through fatigue crack growth in, editor(s)A.P. Basu, S.K. Basu and S. Mukhopadhyay , Frontiers in Reliability Analysis, Singapore, World Scientific Publishing, 1998, pp397 - 410, [Simon P. Wilson and C.D. Walsh]
Simon P. Wilson, B.A.O. McCormack, C.D. Walsh and P.J. Prendergast, A statistical analysis of microcrack accumulation in PMMA under fatigue loading: applications to orthopaedic implant fixation, International Journal of Fatigue, 20, (3), 1998, p581 - 593
Simon P. Wilson and D. Taylor, Reliability assessment from fatigue micro-crack data, IEEE Transactions on Reliability, 46, (2), 1997, p165 - 172
J. Eliashberg, Nozer D. Singpurwalla and Simon P. Wilson, Calculating the reserve for a time and usage indexed warranty, Management Science, 43, (7), 1997, p966 - 975
Simon P. Wilson and K.J. Coakley, Estimation of asymmetry in physics, Physical Review E, 53, (3), 1996, p2160 - 2171
Statistical aspects of ceramic failure in, J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith , Bayesian Statistics 5, Oxford , OUP, 1996, pp369-386 , [S.P. Wilson, E.R. Fuller Jr. & N.D. Singpurwalla]
Nozer D. Singpurwalla and Simon P. Wilson, The exponentiation formula of reliability and survival: does it always hold?, Lifetime Data Analysis, 1, (2), 1995, p187 - 194
Nozer D. Singpurwalla and Simon P. Wilson, Software reliability modeling, International Statistical Review, 62, (3), 1994, p289 - 317
Nozer D. Singpurwalla and Simon P. Wilson, The warranty problem: its statistical and game theoretic aspects, SIAM Review, 35, (1), 1993, p17 - 42
Warranties in, J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith , Bayesian Statistics 4,, Oxford, OUP., 1992, [Wilson, S.P., Singpurwalla, N.D. ]
Non-Peer-Reviewed Publications
Simon Wilson and Cristina De Persis, Pairwise comparison elicitation for probabilistic fault tree analysis, UK Reliability Meeting, Durham University, 1 - 3 April 2019, 2019, Department of Mathematical Sciences, University of Durham
Simon Wilson, Photo-z estimation: a review, CMU Seminar Series, Department of Statistics and Data Science, Carnegie Mellon University, 10th November 2017, 2017
Mental image search in image databases in, editor(s)P. Cunningham and M. Cord , Machine Learning for Multimedia Data, Berlin, Springer, 2008, pp189 - 204, [Simon Wilson, Julien Fauquer and Nozha Boujemma]
Introduction to Bayesian methods and decision theory in, editor(s)P. Cunningham and M. Cord , Machine Learning for Multimedia Data, Berlin, Springer-Verlag, 2008, pp3 - 20, [Simon Wilson, Rozenn Dahyot and Padraig Cunningham]
S.P. Wilson & S. Goyal, Bayesian estimation for an imperfect test and repair model, European Test Symposium, Freiburg, Germany, 2007
S.P. Wilson, B. Flood and S. Vilkomir, Probability modelling and decision analysis for software recovery , Mathematical Methods in Reliability, Glasgow, UK., 2007
S.P. Wilson and Georgios Stefanou, Improving CBIR by modelling the search process: a Bayesian approach, Proceedings of the European Signal Processing Conference, European Signal Processing Conference, Firenze, Italy, 2006, pp1-4
S.P. Wilson & K. McDaid, A split Poisson process model for the occurrence of defects and change requests during user acceptance testing, Department of Statistics,, Trinity College Dublin., 2005
S.P. Wilson & G. Stefanou, Decision-theoretic approaches to display strategies in content based image retrieval , MOUMIR Deliverable D5.3: Final Research Report Contribution, March, 2004
S.P. Wilson & M.P. Wiper, A Bayesian analysis of beta testing , Universidad Carlos III de Madrid, July, 2003
S.P. Wilson & M.P. Wiper, Comprobacion de software. Un analisis Bayesiano , Congreso Nacional de Estadistica e Investigacion Operativa, Lleida, Spain, edited by 27 April , 2003
S.P. Wilson & O. Robles, A set partitioning algorithm for use with a parallel approach to MCMC for latent Gaussian spatial models, Department of Statistics, Trinity College Dublin, 2002
S.P. Wilson & G. Stefanou, Separability analysis of statistical features for classification of IGN images, Department of Statistics, Trinity College Dublin, 2002
Wilson, S.P., Looking for happy images: using statistics for spatial data, 2001, - 188
S.P. Wilson & M. Whiley, A note on using parallel algorithms for implementing Bayesian inference in spatial Gaussian models, Department of Statistics, Trinity College Dublin, 2001
S.P. Wilson & J. Zerubia, Segmentation of textured satellite and aerial images by Bayesian inference and Markov random fields, Institut National de Recherche en Informatique et en Automatique, Sophia Antipolis, 2001
S.P. Wilson, Inference for thinned point processes, illustrated through the non-homogeneous renewal process, Department of Statistics, Trinity College Dublin., 2000
S.P. Wilson & D. E. Melas, Texture based image segmentation using the double Markov random field model, Proceedings of The Art and Science of Bayesian Image Analysis, edited by K. V. Mardia, C. A. Gill, R. G. Aykroyd , 1997, pp169-175.
Wilson, S.P., Implementing the Bayesian approach: an overview, Department of Statistics, Trinity College Dublin, 1996
S.P. Wilson & K. McDaid, Optimal software testing under a time dependent error detection rate model, Department of Statistics, Trinity College Dublin, 1996
S.P. Wilson & F. Brun, Statistical modelling of fatigue micro-cracks, Department of Statistics, Trinity College Dublin, 1996
Wilson, S.P., Models for two-scale survival analysis, Proceedings of the 7th International Symposium on Applied Stochastic Models and Data Analysis, 7th International Symposium on Applied Stochastic Models and Data Analysis, 1995, pp644-651
Wilson, S.P., Statistical inference from small signals in physics, Proceedings of the International Workshop on Model Uncertainty and Robustness., International Workshop on Model Uncertainty and Robustness., Duke University, 1995
S.P. Wilson & N.D. Singpurwalla, Models for assessing the reliability of computer software , Proceedings of the 38th Conference on Design of Experiments in Army Research and Development Testing, 38th Conference on Design of Experiments in Army Research and Development Testing, 1993, pp139-162
S.P. Wilson & K. Aboura, A study of dependence for the Association of American Railroads, AAA, October , 1992
Wilson, S.P., SALT: Software for adversarial life testing., December , 1991
S.P. Wilson & N.D. Singpurwalla, Failure models indexed by time and usage, Bulletin of the International Statistical Institute, 48, 1991
Research Expertise
Projects
- Title
- Insight Centre for Data Analytics
- Summary
- This is a large SFI funded research centre in the area of data analytics. I lead one of the 5 research challenges in the Centre, focussing on scaleability. The Centre's funding was renewed for 6 years from July 2019. I co-lead one of the 6 research challenges, in scalability, that form the core of its research agenda.
- Funding Agency
- Science Foundation Ireland
- Date From
- 01/07/2013
- Date To
- 30/06/2025
- Title
- Statistical Methods in ICT Applications
- Summary
- Information and communications technology (ICT) continues to generate data that challenge the state-of-the-art in statistical methodology. These data form "complex data systems"; of large size and/or generated at a high rate, indexed in space and/or time, with complex dependencies between variables that must be accounted for in any meaningful analysis. Often, particularly where control and decision-making are needed, the analysis must be fast. This project aims to (a) advance the state of the art of statistical analysis for complex data systems in ICT applications (b) support on-going efforts to create a centre of expertise in this area with international recognition. The challenges provided by several concrete applications will motivate the work, including: reliability of telecoms networks, road traffic modelling and management and source separation for multi-channel images.
- Funding Agency
- SFI
- Date From
- 01/01/2009
- Date To
- 31/12/2012
- Title
- Reliability of Complex Telecommunications Networks
- Summary
- Telecommunications networks continue to experience exponential rates of growth in data transmission, and organisations and individuals are relying more and more on these networks to support critical activities. These trends drive the desire for highly reliable networks that suffer minimal service outages. The core research question that in this project is the reliability of a complex network where failure occurs through the dependence or interaction between its components: hardware, software and human. Statistical models for this process form the focus of the research. Recent developments in Bayesian network (BN) models, such as dynamic BNs and inference for BN structure, are going to be used to develop a unified modelling approach that can model relationships between hardware components, sub-system redundancy, the interaction with software bugs and the consequences of human error. Collaboration with Bell Labs in Dublin and New Jersey is providing data and feedback. The novelty in the research is (a) advances in statistical modelling methodology with BNs for these complex networks and (b) on the application side, better prediction of failures in complex networks and how they arise.
- Funding Agency
- IRCSET
- Date From
- 01/10/2008
- Date To
- 30/09/2011
Recognition
Representations
External examiner to NUIG Statistics Discipline
REVIEWING (SINCE 2004)
Journal No. of papers reviewed
Biostatistics
Bone
Comput. Stat. Data Anal.
IEE Trans.
IEEE JSAC
IEEE Trans. Image Proc.
IEEE Trans. Reliab.
Image and Vision Computing
J. Risk and Reliability
J. Roy. Statist. Soc. B
J. Roy. Statist. Soc. C
Naval Research Logistics
Stat. and Comp.
Book proposal reviews
President-elect of the Irish Statistical Association
Chair of the Industrial Statistics section of the International Society for Bayesian Analysis
Member of the external review panel for undergraduate teaching in Maths, Statistics and Physics at the University of Newcastle
External examiner to UCD Statistics programmes.
Advisor on postgraduate teaching and research programmes, John von Neumann Institute, Vietnam
Member of the review panel for the N8 Centre of Excellence in Computationally Intensive Research (N8 CIR), a consortium of 8 universities in Northern England
External PhD examiner on 14 PhD theses in Ireland and overseas, including Univ. Cambridge (twice), Brisbane, Nice, Durham.
Awards and Honours
Fellow of Trinity College Dublin
Visiting scholar, Department of Statistics and Data Science, Carnegie Mellon University
Memberships
Fellow of the Royal Statistical Society
Member of Sigma Xi Scientific Research Society
Elected member, International Statistical Institute
Member of the International Society of Bayesian Analysis