Uninet in publications

Gradowska, P. and Cooke, Roger M. (2013) Estimating expected value of information using Bayesian belief networks: a case study in fish consumption advisory, Environment, Systems and Decisions, March 2014, Volume 4, Issue 1, 88-97. doi.org/10.1007/s10669-013-9471-4

Cooke, R.M. & Wielicki, B. (2018) Probabilistic reasoning about measurements of equilibrium climate sensitivity: combining disparate lines of evidence, Climatic Change, 151(3), 541-554. doi.org/10.1007/s10584-018-2315-y

A. M. Hanea, G. F. Nane, B. A. Wielicki & R. M. Cooke (2018) Bayesian networks for identifying incorrect probabilistic intuitions in a climate trend uncertainty quantification context, Risk Research pp 1-16, Published online: 26 Feb 2018.

Hincks,T., Aspinall, W. A., Cooke , Roger M., Gernon, T (2018) Oklahoma’s induced seismicity strongly linked to wastewater injection depth, Science, 1 Feb 2018. doi.org/10.1126/science.aap7911

Cooke, R.M., Thomas A. Zang Dimitri N. Mavris and Jimmy Tai (2015) Sculpting: A Fast, Interactive Method for Probabilistic Design Space Exploration and Margin Allocation, American Institute of Aeronautics and Astronautics. arc.aiaa.org/doi/abs/10.2514/6.2015-3440

Liang, C. (2016) Multidisciplinary Analysis and Optimization under Uncertainty, PhD Dissertation, Vanderbilt University, Department of Civil Engineering. etd.library.vanderbilt.edu/available/etd-02252016-204827/unrestricted/Liang.pdf

Liang, C., and S. Mahadevan, Stochastic Multidisciplinary Analysis with High Dimensional Coupling, (2016) AIAA Journal, Vol. 54, No. 4, pp. 1209-1219. arc.aiaa.org/doi/pdf/10.2514/1.J054343

Liang, C., Mahadevan, S., (2016) Multidisciplinary optimization under uncertainty using Bayesian network, SAE International Journal of Materials and Manufacturing, Vol. 9, No. 2, pp. 419–429. saemobilus.sae.org/content/2016-01-0304/

Bamber, J. L., Oppenheimer, Kopp, R. E., Aspinall, W.P., Cooke, Roger M., Ice sheet contributions to future sea level rise from structured expert judgement, PNAS first published May 20, 2019. doi.org/10.1073/pnas.1817205116  Uninet is mentioned in the Supplementary Information

Aspinall, W. and G. Woo. Counterfactual Analysis of Runaway Volcanic Explosions. (2019) Frontiers in Earth Science 7: 222. doi.org/10.3389/feart.2019.00222

Hincks, T., Aspinall, W. and Sparks, S. Application of Bayes Network analysis to RWGD siting: expert estimation of geological barrier effects due to climate change, (2017), Ch. 19 in: Geological Repository Systems for Safe Disposal of Spent Nuclear Fuels and Radioactive Waste (eds. Apted, M. & Ahn, J.), Elsevier, 551-581.  doi.org/10.1016/B978-0-08-100642-9.00019-0

Hanea, A.M., Gheorghe, M., Hanea, R., Ababei, D. Non-parametric Bayesian networks for parameter estimation in reservoir simulation: a graphical take on the ensemble Kalman filter (part I), Computational Geoscience (2013) 17: 929. doi.org/10.1007/s10596-013-9365-z

A Hanea, OM Napoles, D Ababei, Non-parametric Bayesian networks: Improving theory and reviewing applications, Reliability Engineering & System Safety 144, 265-284. doi.org/10.1016/j.ress.2015.07.027

O Morales-Napoles, D Kurowicka, R Cooke, D Ababei, Continuous-discrete distribution free Bayesian Belief Nets in aviation safety with UniNet, Technical Report TU Delft

BJM Ale, LJ Bellamy, J Cooper, D Ababei, D Kurowicka, O Morales, .et al, Analysis of the crash of TK 1951 using CATS, Reliability Engineering & System Safety 95 (5), 469-477. doi.org/10.1016/j.ress.2009.11.014  The CATS model is implemented in Uninet

RM Cooke, D Kurowicka, AM Hanea, O Morales Napoles, D Ababei, B Ale, A Roelen, Continuous/Discrete Non Parametric Bayesian Belief Nets with Unicorn and Uninet, MMR 2007: Mathematical Methods in Reliability, Glasgow, UK, 1-4 July 2007

AM Hanea, D Kurowicka, RM Cooke, D Ababei, Mining and visualising ordinal data with non-parametric continuous BBNs, Computational Statistics & Data Analysis 54 (3), 668-687. doi.org/10.1016/j.csda.2008.09.032

BA Hradsky, TD Penman, D Ababei, A Hanea, EG Ritchie, A York, et al, Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions, Ecosphere 8 (8). doi.org/10.1002/ecs2.1926

BJM Ale, C Van Gulijk, DM Hanea, P Hudson, PH Lin, S Sillem, et al, Further development of a method to calculate frequencies of loss of control including their uncertainty, ESREL 2013: Proceedings of the 22nd European Safety and Reliability

D Marella, P Vicard, V Vitale, D Ababei, Measurement Error Correction by Nonparametric Bayesian Networks: Application and Evaluation, Statistical Learning of Complex Data, 155-162. doi.org/10.1007/978-3-030-21140-0_16

C Van Gulijk, BJM Ale, D Ababei, M Steenhoek, Comparison of risk profiles for chemical process plants using PLATYPUS, Safety and Reliability: Methodology and Applications, 2015, ISBN 978-1-138-02681-0, 1363-1368  Uninet provides the computational engine for Platypus

Martine J Barons, Willy Aspinall, Anticipated impacts of Brexit scenarios on UK food prices and implications for policies on poverty and health: a structured expert judgement approach, BMJ Open 2020; Volume 10, Issue 3. doi.org/10.1136/bmjopen-2019-032376

W Aspinall, A Bevilacqua, A Costa, H Inakura, S Mahony, A Neri, R Sparks, Probabilistic reconstruction (or forecasting) of distal runouts of large magnitude ignimbrite PDC flows sensitive to topography using mass‐dependent inversion models, Earth and Space Science Open Archive, 2020 doi.org/10.1002/essoar.10502300.1