ORCID Profile
0000-0003-3898-3957
Current Organisation
University of Tasmania
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Statistics | Stochastic Analysis and Modelling | Stochastic Analysis And Modelling | Molecular Evolution | Health Information Systems (incl. Surveillance) |
Expanding Knowledge in the Mathematical Sciences | Public Health (excl. Specific Population Health) not elsewhere classified | Telecommunications | Living resources (flora and fauna) | Expanding Knowledge in the Biological Sciences | Mathematical sciences
Publisher: Informa UK Limited
Date: 26-03-2020
Publisher: Association for Computing Machinery (ACM)
Date: 09-03-2012
Publisher: Elsevier BV
Date: 06-2017
Publisher: IEEE
Date: 07-2013
Publisher: Springer New York
Date: 2009
Publisher: Springer New York
Date: 2009
Publisher: Cambridge University Press (CUP)
Date: 13-11-2009
DOI: 10.1017/S0269964809000102
Abstract: We consider a Markovian stochastic fluid flow model in which the fluid level has a lower bound zero and a positive upper bound. The behavior of the process at the boundaries is modeled by parameters that are different than those in the interior and allow for modeling a range of desired behaviors at the boundaries. We illustrate this with ex les. We establish formulas for several time-dependent performance measures of significance to a number of applied probability models. These results are achieved with techniques applied within the fluid flow model directly. This leads to useful physical interpretations, which are presented.
Publisher: Elsevier BV
Date: 09-2005
Publisher: Elsevier BV
Date: 12-2016
Publisher: MDPI AG
Date: 29-07-2014
Publisher: IEEE
Date: 07-2013
Publisher: Elsevier BV
Date: 09-2005
Publisher: Informa UK Limited
Date: 24-08-2017
Publisher: Springer Science and Business Media LLC
Date: 31-01-2017
Publisher: Association for Computing Machinery (ACM)
Date: 09-03-2012
Publisher: Elsevier BV
Date: 10-2014
Publisher: Elsevier BV
Date: 05-2014
Publisher: Informa UK Limited
Date: 02-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2010
Publisher: Informa UK Limited
Date: 30-03-2020
Publisher: Elsevier BV
Date: 02-2020
Publisher: Cambridge University Press (CUP)
Date: 09-2021
DOI: 10.1017/APR.2020.71
Abstract: In this paper we analyse the limiting conditional distribution (Yaglom limit) for stochastic fluid models (SFMs), a key class of models in the theory of matrix-analytic methods. So far, only transient and stationary analyses of SFMs have been considered in the literature. The limiting conditional distribution gives useful insights into what happens when the process has been evolving for a long time, given that its busy period has not ended yet. We derive expressions for the Yaglom limit in terms of the singularity˜ $s^*$ such that the key matrix of the SFM, ${\\boldsymbol{\\Psi}}(s)$ , is finite (exists) for all $s\\geq s^*$ and infinite for $s s^*$ . We show the uniqueness of the Yaglom limit and illustrate the application of the theory with simple ex les.
Publisher: Informa UK Limited
Date: 02-04-2020
Publisher: Springer Science and Business Media LLC
Date: 11-12-2007
Publisher: Springer Science and Business Media LLC
Date: 10-05-2008
Publisher: Springer Science and Business Media LLC
Date: 23-08-2016
Publisher: Elsevier BV
Date: 09-2012
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 08-2016
Publisher: Informa UK Limited
Date: 14-04-2022
Publisher: Informa UK Limited
Date: 31-10-2019
Publisher: Informa UK Limited
Date: 09-02-2005
Publisher: Elsevier BV
Date: 09-2013
Publisher: Elsevier BV
Date: 09-2013
Publisher: MDPI AG
Date: 28-08-2014
Publisher: Informa UK Limited
Date: 04-08-2017
Start Date: 2007
End Date: 2009
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2018
End Date: 09-2023
Amount: $317,329.00
Funder: Australian Research Council
View Funded ActivityStart Date: 08-2015
End Date: 12-2021
Amount: $410,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2007
End Date: 12-2010
Amount: $198,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2011
End Date: 06-2015
Amount: $600,000.00
Funder: Australian Research Council
View Funded Activity