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 | 377 | 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 | 282 | 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 | 152 | 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 | 109 | 2017 |
Non-parametric Bayesian networks: Improving theory and reviewing applications A Hanea, OM Napoles, D Ababei Reliability Engineering & System Safety 144, 265-284, 2015 | 105 | 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 | 104 | 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 | 101 | 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 | 75 | 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 | 72 | 2010 |
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 | 56 | 2014 |
Expert judgement in risk and decision analysis AM Hanea, GF Nane, T Bedford, S French Springer, 2021 | 52 | 2021 |
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 | 48 | 2018 |
Uncertainty quantification with experts: present status and research needs AM Hanea, V Hemming, GF Nane Risk Analysis 42 (2), 254-263, 2022 | 47 | 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 | 47 | 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 | 34 | 2020 |
Experimental results about the assessments of conditional rank correlations by experts: Example with air pollution estimates O Morales-Nápoles, AM Hanea, DTH Worm shers, 2014 | 26 | 2014 |
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 | 26 | 2007 |