Uninet in publications

W Aspinall, RSJ Sparks, BE Hill, A Costa, C Connor, H Inakura, T Hasenaka, M Miyoshi, K Kiyosugi, T Tsuji, M Ushioda (2023) Aso volcano, Japan: assessing the 100-year probability of a new caldera-forming eruption based on expert judgements with Bayes Net and Importance Sampling uncertainty analysis, Journal of Applied Volcanology 2023 12:5. doi.org/10.1186/s13617-023-00131-8

X Li, Y Liu, R Abbassi, F Khan, R Zhang (2022) A Copula-Bayesian approach for risk assessment of decommissioning operation of aging subsea pipelines Process Safety and Environmental Protection, 167, 412-422, 2022 doi.org/10.1016/j.psep.2022.09.019

P D’Urso, L De Giovanni, V Vitale (2022) A Bayesian network to analyse basketball players’ performances: a multivariate copula-based approach Annals of Operations Research (2023) 325:419–440 doi.org/10.1007/s10479-022-04871-5

TM Gernon, TK Hincks, AS Merdith, EJ Rohling, MR Palmer, GL Foster, CP Bataille, RD Müller (2021) Global chemical weathering dominated by continental arcs since the mid-Palaeozoic Nature Geoscience, 2021 doi.org/10.1038/s41561-021-00806-0

WP Aspinall, RSJ Sparks, CB Connor, BE Hill, A Costa, JC Rougier, H Inakura, SH Mahony (2021) Aso volcano: estimating the probabilistic likelihood of a future Aso4-scale eruption from stochastic uncertainty analysis of volcanological evidence using importance sampling The 5th International Workshop on Rock Mechanics and Engineering Geology in Volcanic Fields (RMEGV2021: T Ito, T Ohta, M Osada, eds) ISRM2021 Specialized Conference September 9-11, 2021, Fukuoka, Japan; 6pp. ISBN 978-4-907430-05-4 doi.org/10.1201/9781003293590-11

RSJ Sparks, WP Aspinall, R Cooke, JH Scarrow (2020) Quantifying threat from COVID-19 infection hazard in Primary Schools in England MedRxiv, 2020 doi.org/10.1101/2020.08.07.20170035  Now in Royal Society Open Science, manuscript RSOS-202218

MJ Barons, W Aspinall (2020) 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

D Marella, P Vicard, V Vitale, D Ababei (2019) 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

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

JL Bamber, K Oppenheimer, RE Kopp, WP Aspinall, RM Cooke (2019) 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

W Aspinall, A Bevilacqua, A Costa, H Inakura, S Mahony, A Neri, R Sparks (2019) 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

RM Cooke, B Wielicki (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

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

AM Hanea, GF Nane, BA Wielicki, RM 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.

BA Hradsky, TD Penman, D Ababei, A Hanea, EG Ritchie, A York, J Di Stefano (2017) Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions, Ecosphere 8(8). doi.org/10.1002/ecs2.1926

T Hincks, W Aspinall, S Sparks (2017) Application of Bayes Network analysis to RWGD siting: expert estimation of geological barrier effects due to climate change, 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

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

C Liang, S Mahadevan (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/

C Liang (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

RM Cooke, TA Zang, DN Mavris, JC 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

C Van Gulijk, BJM Ale, D Ababei, M Steenhoek (2015) 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

A Hanea, OM Napoles, D Ababei (2015) 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

P Gradowska, RM Cooke (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

BJM Ale, C Van Gulijk, DM Hanea, P Hudson, PH Lin, S Sillem, et al (2013) 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

AM Hanea, M Gheorghe, R Hanea, D Ababei (2013) 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

AM Hanea, D Kurowicka, RM Cooke, D Ababei (2010) 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

BJM Ale, LJ Bellamy, J Cooper, D Ababei, D Kurowicka, O Morales, .et al (2010) 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

O Morales-Napoles, D Kurowicka, R Cooke, D Ababei (2007) Continuous-discrete distribution free Bayesian Belief Nets in aviation safety with Uninet, Technical Report TU Delft

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