Bean, Nigel
Bean, Nigel
Verified email at adelaide.edu.au
Title
Cited by
Cited by
Year
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
1422017
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
1132010
The cross-entropy method for network reliability estimation
KP Hui, N Bean, M Kraetzl, DP Kroese
Annals of Operations Research 134 (1), 101, 2005
1082005
Braess's paradox in a loss network
NG Bean, FP Kelly, PG Taylor
Journal of Applied Probability 34 (1), 155-159, 1997
911997
Algorithms for return probabilities for stochastic fluid flows
NG Bean, MM O'Reilly, PG Taylor
Stochastic models 21 (1), 149-184, 2005
812005
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
792005
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
751995
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
512009
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
511997
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 (3), 381-408, 2008
502008
Quasi-birth-and-death processes with rational arrival process components
NG Bean, BF Nielsen
Stochastic Models 26 (3), 309-334, 2010
442010
Markovian trees: properties and algorithms
NG Bean, N Kontoleon, PG Taylor
Annals of Operations Research 160 (1), 31-50, 2008
432008
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
412005
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
392020
Performance measures of a multi-layer Markovian fluid model
NG Bean, MM O’Reilly
Annals of Operations Research 160 (1), 99-120, 2008
382008
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
362009
Characterization of matrix-exponential distributions
NG Bean, M Fackrell, P Taylor
Stochastic Models 24 (3), 339-363, 2008
302008
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
282020
A Stochastic Two-Dimensional Fluid Model
NG Bean, MM O'Reilly
Stochastic Models 29 (1), 31-63, 2013
282013
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
282010
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