William (Will) J M Probert
William (Will) J M Probert
Big Data Institute, Nuffield Department of Medicine, University of Oxford
Verified email at bdi.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
Active adaptive conservation of threatened species in the face of uncertainty
E McDonald-Madden, WJM Probert, CE Hauser, MC Runge, ...
Ecological Applications 20 (5), 1476-1489, 2010
852010
Conservation planning with multiple organizations and objectives
M Bode, W Probert, WR Turner, KA Wilson, O Venter
Conservation biology 25 (2), 295-304, 2011
642011
Effect of risk aversion on prioritizing conservation projects
AIT Tulloch, RF Maloney, LN Joseph, JR Bennett, MMI Fonzo, ...
Conservation Biology 29 (2), 513-524, 2015
462015
Managing and learning with multiple models: objectives and optimization algorithms
WJM Probert, CE Hauser, E McDonald-Madden, MC Runge, PWJ Baxter, ...
Biological Conservation 144 (4), 1237-1245, 2011
422011
Decision-making for foot-and-mouth disease control: Objectives matter
WJM Probert, K Shea, CJ Fonnesbeck, MC Runge, TE Carpenter, S Dürr, ...
Epidemics 15, 10-19, 2016
372016
Balancing phylogenetic diversity and species numbers in conservation prioritization, using a case study of threatened species in New Zealand
JR Bennett, G Elliott, B Mellish, LN Joseph, AIT Tulloch, WJM Probert, ...
Biological Conservation 174, 47-54, 2014
362014
Essential information: Uncertainty and optimal control of Ebola outbreaks
SL Li, ON Bjørnstad, MJ Ferrari, R Mummah, MC Runge, CJ Fonnesbeck, ...
Proceedings of the National Academy of Sciences 114 (22), 5659-5664, 2017
222017
Minimizing the Cost of Keeping Options Open for Conservation in a Changing Climate
M Mills, S Nicol, JA Wells, JJ LAHOZ‐MONFORT, B Wintle, M Bode, ...
Conservation Biology 28 (3), 646-653, 2014
192014
Evaluating Trade‐Offs between Target Persistence Levels and Numbers of Species Conserved
MMI Di Fonzo, HP Possingham, WJM Probert, JR Bennett, LN Joseph, ...
Conservation Letters 9 (1), 51-57, 2016
152016
A large-scale application of project prioritization to threatened species investment by a government agency
J Brazill-Boast, M Williams, B Rickwood, T Partridge, G Bywater, B Cumbo, ...
PLOS ONE 13 (8), e0201413, 2018
142018
Real-time decision-making during emergency disease outbreaks
WJM Probert, CP Jewell, M Werkman, CJ Fonnesbeck, Y Goto, ...
PLOS Computational Biology 14 (7), e1006202, 2018
132018
Social Determinants and Regional Disparity of Unemployment Duration in Australia: A Multilevel Approach
MA Haynes, A Higginson, WJM Probert, P Boreham
2011 HILDA Survey Research Conference, 1-31, 2011
112011
Harnessing multiple models for outbreak management
K Shea, MC Runge, D Pannell, WJM Probert, SL Li, M Tildesley, M Ferrari
Science 368 (6491), 577-579, 2020
92020
Quantifying the value of perfect information in emergency vaccination campaigns
NV Bradbury, WJM Probert, K Shea, MC Runge, CJ Fonnesbeck, ...
PLOS Computational Biology 13 (2), e1005318, 2017
92017
Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies
WJM Probert, S Lakkur, CJ Fonnesbeck, K Shea, MC Runge, MJ Tildesley, ...
Philosophical Transactions of the Royal Society B 374 (1776), 20180277, 2019
72019
Resource allocation in two species systems: Is it worth acknowledging species interactions?
WJM Probert, M Drechsler, PWJ Baxter, HP Possingham
Ecological Modelling 222 (10), 1781-1789, 2011
32011
Model projections of the impact of the PopART intervention in the HPTN 071 (PopART) study
W Probert
IAS 2019 Conference, 21-24, 2019
12019
Computational issues surrounding the dynamic optimisation of management of an ecological food web
W Probert, E McDonald-Madden, N Peyrard, R Sabbadin
ECAI workshop on algorithmic issues for inference in graphical models (AIGM …, 2012
12012
Anticipating future learning affects current control decisions: A comparison between passive and active adaptive management in an epidemiological setting
BD Atkins, CP Jewell, MC Runge, MJ Ferrari, K Shea, WJM Probert, ...
Journal of Theoretical Biology, 110380, 2020
2020
PopART-IBM, a highly efficient stochastic individual-based simulation model of generalised HIV epidemics developed in the context of the HPTN 071 (PopART) trial
M Pickles, A Cori, W Probert, R Sauter, S Fidler, H Ayles, P Bock, ...
medRxiv, 2020
2020
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Articles 1–20