Anca Hanea

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Mark BurgmanProfessor of Risk Analysis and Environmental Policy, Imperial College LondonVerified email at imperial.ac.uk
Victoria HemmingThe University of British ColumbiaVerified email at ubc.ca
Bonnie WintleSchool of Ecosystem and Forest Sciences, University of MelbourneVerified email at unimelb.edu.au
Marissa McBrideImperial College London, University of MelbourneVerified email at imperial.ac.uk
roger cookeResources for the FutureVerified email at rff.org
Dorota KurowickaDelft University of TechnologyVerified email at tudelft.nl
Gabriela F. (Tina) NaneDelft Institute of Applied Mathematics, Delft University of TechnologyVerified email at tudelft.nl
Oswaldo Morales NapolesDelft UniversityVerified email at tudelft.nl
Fiona FidlerUniversity of MelbourneVerified email at unimelb.edu.au
Dan AbabeiOwner LightTwist Software | Sofware engineer/academic specialist, University of MelbourneVerified email at unimelb.edu.au
Hannah FraserSchool of BioSciences, University of MelbourneVerified email at unimelb.edu.au
B.J.M. ALETechnical University DelftVerified email at xs4all.nl
Terry WalsheUniversity of MelbourneVerified email at unimelb.edu.au
Bruce G. MarcotUSDA Forest ServiceVerified email at usda.gov
Steven MascaroDr Steven MascaroVerified email at voracity.org
Wiebke JägerAssistant ProfessorVerified email at vu.nl
Elliot GouldUniversity of MelbourneVerified email at unimelb.edu.au
Andrew RobinsonThe University of MelbourneVerified email at unimelb.edu.au
Martin BushUniversity of MelbourneVerified email at unimelb.edu.au
Martine J. BaronsUniversity of WarwickVerified email at warwick.ac.uk

Anca Hanea

University of Melbourne

Verified email at unimelb.edu.au - Homepage

probabilistic modelling risk analysis decision theory


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A practical guide to structured expert elicitation using the IDEA protocol V Hemming, MA Burgman, AM Hanea, MF McBride, BC Wintle Methods in Ecology and Evolution 9 (1), 169-180, 2018	411	2018
What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis? BG Marcot, AM Hanea Computational Statistics 36 (3), 2009-2031, 2021	315	2021
Hybrid method for quantifying and analyzing Bayesian belief nets AM Hanea, D Kurowicka, RM Cooke Quality and Reliability Engineering International 22 (6), 709-729, 2006	157	2006
Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions C Werner, T Bedford, RM Cooke, AM Hanea, O Morales-Napoles European Journal of Operational Research 258 (3), 801-819, 2017	110	2017
I nvestigate D iscuss E stimate A ggregate for structured expert judgement AM Hanea, MF McBride, MA Burgman, BC Wintle, F Fidler, L Flander, ... International Journal of Forecasting 33 (1), 267-279, 2017	110	2017
Non-parametric Bayesian networks: Improving theory and reviewing applications A Hanea, OM Napoles, D Ababei Reliability Engineering & System Safety 144, 265-284, 2015	110	2015
A Bayesian network approach for coastal risk analysis and decision making WS Jäger, EK Christie, AM Hanea, C Den Heijer, T Spencer Coastal Engineering 134, 48-61, 2018	106	2018
Eliciting improved quantitative judgements using the IDEA protocol: A case study in natural resource management V Hemming, TV Walshe, AM Hanea, F Fidler, MA Burgman PloS one 13 (6), e0198468, 2018	105	2018
Classical meets modern in the IDEA protocol for structured expert judgement AM Hanea, MF McBride, MA Burgman, BC Wintle Journal of Risk Research 21 (4), 417-433, 2018	76	2018
Mining and visualising ordinal data with non-parametric continuous BBNs AM Hanea, D Kurowicka, RM Cooke, DA Ababei Computational Statistics & Data Analysis 54 (3), 668-687, 2010	73	2010
Expert judgement in risk and decision analysis AM Hanea, GF Nane, T Bedford, S French Springer, 2021	57	2021
Towards BBN based risk modelling of process plants B Ale, C Van Gulijk, A Hanea, D Hanea, P Hudson, PH Lin, S Sillem Safety Science 69, 48-56, 2014	57	2014
Uncertainty quantification with experts: Present status and research needs AM Hanea, V Hemming, GF Nane Risk Analysis 42 (2), 254-263, 2022	51	2022
The value of performance weights and discussion in aggregated expert judgments AM Hanea, MF McBride, MA Burgman, BC Wintle Risk Analysis 38 (9), 1781-1794, 2018	50	2018
Bayesian network modeling and expert elicitation for probabilistic eruption forecasting: Pilot study for Whakaari/White Island, New Zealand A Christophersen, NI Deligne, AM Hanea, L Chardot, N Fournier, ... Frontiers in Earth Science 6, 211, 2018	49	2018
Algorithms for non-parametric Bayesian belief nets AM Hanea	45	2008
Bayesian networks elucidate interactions between fire and other drivers of terrestrial fauna distributions BA Hradsky, TD Penman, D Ababei, A Hanea, EG Ritchie, A York, ... Ecosphere 8 (8), e01926, 2017	42	2017
Weighting and aggregating expert ecological judgments V Hemming, AM Hanea, T Walshe, MA Burgman Ecological Applications 30 (4), e02075, 2020	36	2020
Continuous/discrete non parametric Bayesian belief nets with UNICORN and UNINET RM Cooke, D Kurowicka, AM Hanea, O Morales, DA Ababei, B Ale, ... Proceedings of Mathematical Methods in Reliability MMR, 1-4, 2007	28	2007
IDEA for uncertainty quantification AM Hanea, M Burgman, V Hemming Elicitation: The science and art of structuring judgement, 95-117, 2018	26	2018

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