Anca Hanea
Anca Hanea
Geverifieerd e-mailadres voor unimelb.edu.au
Geciteerd door
Geciteerd door
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
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
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
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
Non-parametric Bayesian networks: Improving theory and reviewing applications
A Hanea, OM Napoles, D Ababei
Reliability Engineering & System Safety 144, 265-284, 2015
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
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
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
A Bayesian network approach for coastal risk analysis and decision making
WS Jšger, EK Christie, AM Hanea, C Den Heijer, T Spencer
Coastal Engineering 134, 48-61, 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
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
Algorithms for non-parametric Bayesian belief nets
AM Hanea
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
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
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
Mixed non-parametric continuous and discrete Bayesian belief nets
A Hanea, D Kurowicka
Advances in mathematical modeling for reliability, 9-16, 2008
Continuous/discrete non parametric Bayesian belief nets with UNICORN and UNINET
RM Cooke, D Kurowicka, AM Hanea, O Morales Napoles, DA Ababei, ...
MMR 2007: Mathematical Methods in Reliability, Glasgow, UK, 1-4 July 2007, 2007
Expert Judgement in Risk and Decision Analysis
AM Hanea, GF Nane, T Bedford, S French
Springer, 2021
Weighting and aggregating expert ecological judgments
V Hemming, AM Hanea, T Walshe, MA Burgman
Ecological Applications 30 (4), e02075, 2020
Experimental results about the assessments of conditional rank correlations by experts: Example with air pollution estimates
O Morales-NŠpoles, AM Hanea, DTH Worm
shers, 2014
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