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Malgorzata O'Reilly
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Cited by
Year
Algorithms for return probabilities for stochastic fluid flows
NG Bean, MM O'Reilly, PG Taylor
Stochastic Models 21 (1), 149-184, 2005
862005
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
852005
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
542008
Performance measures of a multi-layer Markovian fluid model
NG Bean, MM O’Reilly
Annals of Operations Research 160 (1), 99-120, 2008
402008
Hitting probabilities and hitting times for stochastic fluid flows: The bounded model
NG Bean, M O'reilly, PG Taylor
Probability in the Engineering and Informational Sciences 23 (1), 121-147, 2009
362009
A stochastic two-dimensional fluid model
NG Bean, MM O'Reilly
Stochastic Models 29 (1), 31-63, 2013
322013
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
312010
A relative density ratio-based framework for detection of land cover changes in MODIS NDVI time series
A Anees, J Aryal, MM O’Reilly, TJ Gale
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2015
272015
The stochastic fluid–fluid model: a stochastic fluid model driven by an uncountable-state process, which is a stochastic fluid model itself
NG Bean, MM O’Reilly
Stochastic Processes and their Applications 124 (5), 1741-1772, 2014
182014
A robust multi-kernel change detection framework for detecting leaf beetle defoliation using Landsat 7 ETM+ data
A Anees, J Aryal, MM O’Reilly, TJ Gale, T Wardlaw
ISPRS Journal of Photogrammetry and Remote Sensing 122, 167-178, 2016
172016
Stochastic model for maintenance in continuously deteriorating systems
A Samuelson, A Haigh, MM O'Reilly, NG Bean
European Journal of Operational Research 259 (3), 1169-1179, 2017
132017
Analysis of a mechanistic Markov model for gene duplicates evolving under subfunctionalization
TL Stark, DA Liberles, BR Holland, MM O’Reilly
BMC evolutionary biology 17 (1), 1-16, 2017
122017
On mechanistic modeling of gene content evolution: birth-death models and mechanisms of gene birth and gene retention
AI Teufel, J Zhao, M O’Reilly, L Liu, DA Liberles
Computation 2 (3), 112-130, 2014
102014
Loss rates for stochastic fluid models
MM O’Reilly, Z Palmowski
Performance Evaluation 70 (9), 593-606, 2013
102013
Multi-stage stochastic fluid models for congestion control
MM O’Reilly
European Journal of Operational Research 238 (2), 514-526, 2014
92014
Decision support model for the patient admission scheduling problem with random arrivals and departures
AK Abera, MM O'Reilly, BR Holland, M Fackrell, M Heydar
Proceedings of the 10th international conference on matrix-analytic methods …, 2019
82019
A Markovian approach to power generation capacity assessment of floating wave energy converters
E Arzaghi, MM Abaei, R Abbassi, M O'Reilly, V Garaniya, I Penesis
Renewable Energy 146, 2736-2743, 2020
72020
Stationary distributions for a class of Markov-modulated tandem fluid queues
MM O’Reilly, W Scheinhardt
Stochastic models 33 (4), 524-550, 2017
72017
A generic stochastic model for resource availability in fog computing environments
SK Battula, MM O'Reilly, S Garg, J Montgomery
IEEE Transactions on Parallel and Distributed Systems 32 (4), 960-974, 2020
62020
On the decision support model for the patient admission scheduling problem with random arrivals and departures: A solution approach
AK Abera, MM O’Reilly, M Fackrell, BR Holland, M Heydar
Stochastic Models 36 (2), 312-336, 2020
62020
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