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- Anthony Ebert
Dr Anthony Ebert
PhD Student
Queensland University of Technology
Thesis title: Dynamic Queueing Networks: Simulation, Estimation and Prediction
Overall objective: Develop models for real-time inference of dynamic queueing networks to support planning and day-to-day operations decision-making.
Author of R package queuecomputer (CRAN and github)
Pre prints
Anthony Ebert, Paul Wu, Kerrie Mengersen, Fabrizio Ruggeri (2017). Computationally Efficient Simulation of Queues: The R Package queuecomputer. arXiv preprint arXiv:1703.02151.
Publications
Liu, J, Ebert, A, Variava, M, Dehghani, F & Harris, A (2010). Surface modication and Pt functionalisation of multi-walled carbon nanotubes in methanol expanded with supercritical CO2, Chemical Engineering Journal, vol. 165, no. 3, pp. 974-979
Research Interests:
Approximate Bayesian Computation
Forecasting
Kernel density estimation
multi-criteria decision making
Queueing theory
Real-time data analysis
Reproducing kernel Hilbert space
Qualifications:
PhD (In progress), Queensland University of Technology (2016-Present), Online learning of Dynamic Queueing Systems Supervisors: Professor Kerrie Mengersen, Dr Paul Wu, Professor Fabrizio Ruggeri
Honours in Statistics, University of Western Australia (2015), Predicting Pump Failure using Joint Models with Longitudinal and Time-to-event Data (Unpublished), Supervisor: Dr Edward Cripps, Co-Supervisor: Professor Melinda Hodkiewicz Academic Achievemen
Bachelor of Science (Statistics), Australian National University (2013-2014)
Master of Philosophy (Engineering), The University of Sydney (2010-2013), Synthesis, Preparation and Assembly of Carbon Nanotube-Based Electrode Materials Supervisors: Professor Andrew Harris
Bachelor of Engineering (Chemical), University of Sydney (2005-2009)
Publications
Invited talks, refereed proceedings and other conference outputs
Ebert, A., Wu P., Mengersen KL., & Ruggeri F.
(2018). A Review of Distances on Functional Datasets for Likelihood-Free Inference.
Joint International Society for Clinical Biostatistics and Australian Statistical Conference 2018.
Ebert, A., Wu P., Dutta R., Mengersen KL., Ruggeri F., Mira A., et al.
(2017). Approximate Bayesian Computation for Dynamic Queueing Networks.
5th Symposium on Games and Decisions in Reliability and Risk.
Ebert, A., Wu P., Mengersen KL., & Ruggeri F.
(2017). Efficient simulation of complex queueing systems with the R package queuecomputer.
French R meeting.
Publicly available softwares
Ebert, A., Wu P., & Mengersen KL.
(2017). queuecomputer.
Technical reports and unrefereed outputs
Ebert, A., Wu P., Mengersen KL., & Ruggeri F.
(2017). Computationally Efficient Simulation of Queues: The R Package queuecomputer.
arXiv.
Research links
