Bean, Nigel
Bean, Nigel
Geverifieerd e-mailadres voor adelaide.edu.au
Geciteerd door
Geciteerd door
Aboriginal mitogenomes reveal 50,000 years of regionalism in Australia
R Tobler, A Rohrlach, J Soubrier, P Bover, B Llamas, J Tuke, N Bean, ...
Nature 544 (7649), 180-184, 2017
The cross-entropy method for network reliability estimation
KP Hui, N Bean, M Kraetzl, DP Kroese
Annals of Operations Research 134, 101-118, 2005
GHOST: Recovering Historical Signal from Heterotachously Evolved Sequence Alignments
SM Crotty, BQ Minh, NG Bean, BR Holland, J Tuke, LS Jermiin, ...
Systematic biology 69 (2), 249-264, 2020
An analysis of the interactions between individual comorbidities and their treatments—implications for guidelines and polypharmacy
SP Fitzgerald, NG Bean
Journal of the American Medical Directors Association 11 (7), 475-484, 2010
Braess's paradox in a loss network
NG Bean, FP Kelly, PG Taylor
Journal of Applied Probability 34 (1), 155-159, 1997
Algorithms for return probabilities for stochastic fluid flows
NG Bean, MM O'Reilly, PG Taylor
Stochastic models 21 (1), 149-184, 2005
Hitting probabilities and hitting times for stochastic fluid flows
NG Bean, MM O’Reilly, PG Taylor
Stochastic processes and their applications 115 (9), 1530-1556, 2005
Asymptotic analysis of single resource loss systems in heavy traffic, with applications to integrated networks
NG Bean, RJ Gibbens, S Zachary
Advances in Applied Probability, 273-292, 1995
Clinical parameters are more likely to be associated with thyroid hormone levels than with thyrotropin levels: a systematic review and meta-analysis
SP Fitzgerald, NG Bean, H Falhammar, J Tuke
Thyroid 30 (12), 1695-1709, 2020
The quasi-stationary behavior of quasi-birth-and-death processes
NG Bean, L Bright, G Latouche, CEM Pearce, PK Pollett, PG Taylor
The Annals of Applied Probability 7 (1), 134-155, 1997
Algorithms for the Laplace–Stieltjes transforms of first return times for stochastic fluid flows
NG Bean, MM O’Reilly, PG Taylor
Methodology and Computing in Applied Probability 10, 381-408, 2008
Quasi-birth-and-death processes with rational arrival process components
NG Bean, BF Nielsen
Stochastic Models 26 (3), 309-334, 2010
Hiccups on the road to privacy-preserving linear programming
A Bednarz, N Bean, M Roughan
Proceedings of the 8th ACM workshop on Privacy in the electronic society …, 2009
Markovian trees: properties and algorithms
NG Bean, N Kontoleon, PG Taylor
Annals of Operations Research 160, 31-50, 2008
Identifying the necrotic zone boundary in tumour spheroids with pair-correlation functions
S Dini, BJ Binder, SC Fischer, C Mattheyer, A Schmitz, EHK Stelzer, ...
Journal of The Royal Society Interface 13 (123), 20160649, 2016
Performance measures of a multi-layer Markovian fluid model
NG Bean, MM O’Reilly
Annals of Operations Research 160, 99-120, 2008
An analytic modelling approach for network routing algorithms that use “ant-like” mobile agents
N Bean, A Costa
Computer Networks 49 (2), 243-268, 2005
A Stochastic Two-Dimensional Fluid Model
NG Bean, MM O'Reilly
Stochastic Models 29 (1), 31-63, 2013
A stochastic fluid flow model of the operation and maintenance of power generation systems
NG Bean, MM O'Reilly, JE Sargison
IEEE Transactions on Power Systems 25 (3), 1361-1374, 2010
Hitting probabilities and hitting times for stochastic fluid flows: the bounded model
NG Bean, MM O'Reilly, PG Taylor
Probability in the Engineering and Informational Sciences 23 (1), 121-147, 2009
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