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Emeritus Professor Philip Pollett
Emeritus Professor

Philip Pollett

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Overview

Background

Emeritus Professor Phil Pollett has research interests in Markov process theory, and mathematical modelling in population biology, ecology, epidemiology, chemical kinetics and telecommunications.

He holds an honours degree in Applied Mathematics from the University of Adelaide and a PhD degree in Applied Probability from the University of Cambridge. He joined the then Department of Mathematics in 1987 as Senior Lecturer, having previously held positions at the University of Adelaide, Murdoch University and University College of Cardiff. He was promoted to Reader in 1993 and to Professor in 2004.

His research is recognized internationally for significant contributions to Markov process theory, and mathematical modelling. This research has been supported by 12 ARC Large/Discovery/Linkage grants. He is a Chief Investigator within the ARC Centre of Excellence for Mathematical and Statistics Frontiers (ACEMS), and was a Chief Investigator (2002-2014) within the ARC Centre of Excellence for Mathematics and Statistics of Complex Systems (MASCOS). In 1993, he was awarded the Moran Medal by the Australian Academy of Science for distinguished research in Applied Probability.

Phil Pollett has served on the editorial boards of the Journal of the Australian Mathematical Society, Methodology and Computing in Applied Probability, Stochastic Models, and The Annals of Applied Probability, and has served on the organizing committees of several major international conferences. He devised the Probability Web, recognized as the main Web resource for probabilists throughout the world, and one of the first academic web sites. He has a strong record of innovation in undergraduate teaching, and has guided the development of many postgraduate students and postdoctoral fellows through supervision and collaboration.

Availability

Emeritus Professor Philip Pollett is:
Not available for supervision
Media expert

Fields of research

Qualifications

  • Bachelor (Honours) of Science (Advanced), University of Adelaide
  • Doctor of Philosophy, University of Cambridge
  • Australian Mathematical Society, Australian Mathematical Society

Works

Search Professor Philip Pollett’s works on UQ eSpace

141 works between 1982 and 2025

61 - 80 of 141 works

2007

Journal Article

Estimation for queues from queue length data

Ross, J. V., Taimre, T. and Pollett, P. K. (2007). Estimation for queues from queue length data. Queueing Systems, 55 (2), 131-138. doi: 10.1007/s11134-006-9009-2

Estimation for queues from queue length data

2007

Journal Article

On costs and decisions in population management

Ross, J. V. and Pollett, P. K. (2007). On costs and decisions in population management. Ecological Modelling, 201 (1), 60-66. doi: 10.1016/j.ecolmodel.2006.07.021

On costs and decisions in population management

2007

Journal Article

Stochastic models for the spread of HIV in a mobile heterosexual population

Sani, A., Kroese, D. P. and Pollett, P. K. (2007). Stochastic models for the spread of HIV in a mobile heterosexual population. Mathematical Biosciences, 208 (1), 98-124. doi: 10.1016/j.mbs.2006.09.024

Stochastic models for the spread of HIV in a mobile heterosexual population

2007

Conference Publication

Optimal sampling and problematic likelihood functions in a simple population model

Pagendam, D. E. and Pollett, P. K. (2007). Optimal sampling and problematic likelihood functions in a simple population model. 17th Biennial Congress on Modelling and Simulation (MODSIM07), Christchurch, New Zealand, 10-13 December, 2007. Christchurch, New Zealand: Modelling and Simulation Society of Australia and New Zealand.

Optimal sampling and problematic likelihood functions in a simple population model

2006

Journal Article

On parameter estimation in population models

Ross, J. V., Taimre, T. and Pollett, P. K. (2006). On parameter estimation in population models. Theoretical Population Biology, 70 (4), 498-510. doi: 10.1016/j.tpb.2006.08.001

On parameter estimation in population models

2006

Journal Article

Extinction times for a birth-death process with two phases

Ross, JV and Pollett, PK (2006). Extinction times for a birth-death process with two phases. Mathematical Biosciences, 202 (2), 310-322. doi: 10.1016/j.mbs.2006.02.004

Extinction times for a birth-death process with two phases

2005

Journal Article

Uniqueness criteria for continuous-time Markov chains with general transition structures

Chen, AY, Pollett, P, Zhang, HJ and Cairns, B (2005). Uniqueness criteria for continuous-time Markov chains with general transition structures. Advances In Applied Probability, 37 (4), 1056-1074. doi: 10.1239/aap/1134587753

Uniqueness criteria for continuous-time Markov chains with general transition structures

2005

Journal Article

On the existence of uni-instantaneous Q-processes with a given finite mu-invariant measure

Gray, B, Pollett, P and Zhang, HJ (2005). On the existence of uni-instantaneous Q-processes with a given finite mu-invariant measure. Journal of Applied Probability, 42 (3), 713-725. doi: 10.1239/jap/1127322022

On the existence of uni-instantaneous Q-processes with a given finite mu-invariant measure

2005

Journal Article

Approximating persistence in a general class of population processes

Cairns, BJ and Pollett, F (2005). Approximating persistence in a general class of population processes. Theoretical Population Biology, 68 (-), 77-90. doi: 10.1016/j.tpb.2005.02.002

Approximating persistence in a general class of population processes

2005

Conference Publication

Costs and decisions in population management: Koalas on Kangaroo Island

Pollett, P. K. and Ross, J.V. (2005). Costs and decisions in population management: Koalas on Kangaroo Island. 16th Biennial Congress on Modelling and Simulation MODSIM05, University of Melbourne, 12 - 15 December 2005. Canberra, Australia: Modelling and Simulation Society of Australia and New Zealand.

Costs and decisions in population management: Koalas on Kangaroo Island

2004

Journal Article

Existence and uniqueness of Q-processes with a given finite μ-invariant measure

Pollett, P. and Zhang, H. J. (2004). Existence and uniqueness of Q-processes with a given finite μ-invariant measure. Australian & New Zealand Journal of Statistics, 46 (1), 113-120. doi: 10.1111/j.1467-842X.2004.00317.x

Existence and uniqueness of Q-processes with a given finite μ-invariant measure

2004

Journal Article

Foreword: Festschrift in honour of Daryl Daley

Pollett, Phil and Taylor, Peter (2004). Foreword: Festschrift in honour of Daryl Daley. Australian and New Zealand Journal of Statistics, 46 (1), 3-3. doi: 10.1111/j.1467-842X.2004.00305.x

Foreword: Festschrift in honour of Daryl Daley

2004

Journal Article

The collision branching process

Chen, A., Pollett, P., Zhang, H. and Li, J. (2004). The collision branching process. Journal of Applied Probability, 41 (4), 1033-1048. doi: 10.1239/jap/1101840549

The collision branching process

2004

Journal Article

A reduced load approximation accounting for link interactions in a loss network

Thompson, M.R. and Pollett, P. K. (2004). A reduced load approximation accounting for link interactions in a loss network. Journal of Applied Mathematics and Decision Sciences, 7 (4), 229-248. doi: 10.1155/S1173912603000191

A reduced load approximation accounting for link interactions in a loss network

2004

Journal Article

Extinction times for a general birth, death and catastrophe process

Cairns, Ben and Pollett, P. K. (2004). Extinction times for a general birth, death and catastrophe process. Journal of Applied Probability, 41 (4), 1211-1218. doi: 10.1239/jap/1101840567

Extinction times for a general birth, death and catastrophe process

2003

Conference Publication

Product Form Approximations for Highly Linear Loss Networks with Trunk Reservation

Bebbington, M., Pollett, P. and Ziedins, I. (2003). Product Form Approximations for Highly Linear Loss Networks with Trunk Reservation.

Product Form Approximations for Highly Linear Loss Networks with Trunk Reservation

2003

Journal Article

Product form approximations for highly linear loss networks with trunk reservation

Bebbington, M., Pollett, P. and Ziedins, I. (2003). Product form approximations for highly linear loss networks with trunk reservation. Mathematical And Computer Modelling, 38 (11-13), 1147-1156. doi: 10.1016/S0895-7177(03)90115-4

Product form approximations for highly linear loss networks with trunk reservation

2003

Journal Article

A note on quasi-stationary distributions of birth-death processes and the SIS logistic epidemic

Clancy, D and Pollett, PK (2003). A note on quasi-stationary distributions of birth-death processes and the SIS logistic epidemic. Journal of Applied Probability, 40 (3), 821-825. doi: 10.1239/jap/1059060909

A note on quasi-stationary distributions of birth-death processes and the SIS logistic epidemic

2003

Conference Publication

A method for evaluating the distribution of the total cost of a random process over its lifetime

Pollett, P. K. and Stefanov, V.T. (2003). A method for evaluating the distribution of the total cost of a random process over its lifetime. International Congress on Modelling and Simulation, Townsville, Australia, 14-17 July 2003. Townsville, Australia: Modelling and Simulation Society of Australia and New Zealand.

A method for evaluating the distribution of the total cost of a random process over its lifetime

2003

Journal Article

A new method for analysing the equilibrium and time-dependent behaviour of Markovian models

Pollett, PK and Thompson, MR (2003). A new method for analysing the equilibrium and time-dependent behaviour of Markovian models. Mathematical And Computer Modelling, 38 (11-13), 1409-1418. doi: 10.1016/S0895-7177(03)90144-0

A new method for analysing the equilibrium and time-dependent behaviour of Markovian models

Funding

Past funding

  • 2015 - 2018
    Random discrete structures: approximations and applications (ARC Discovery Project administered by The University of Melbourne)
    University of Melbourne
    Open grant
  • 2014 - 2021
    ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights (University of Melbourne lead institution)
    University of Melbourne
    Open grant
  • 2014
    Understanding the effects of individual variation on population dynamics
    ARC Discovery Projects
    Open grant
  • 2012 - 2015
    Random network models with applications in biology (ARC Discovery Project administered by the University of Melbourne)
    University of Melbourne
    Open grant
  • 2011 - 2013
    New methods for improving active adaptive management in biological systems (ARC Discovery Project administered by The University of Adelaide)
    University of Adelaide
    Open grant
  • 2009 - 2012
    Animal movement between populations deduced from family trees - a test case on dugongs in southern Queensland
    ARC Linkage Projects
    Open grant
  • 2008 - 2009
    Strategies for managing invasive species in space: deciding whether to eradicate, contain or control
    University of Melbourne
    Open grant
  • 2003 - 2013
    ARC Centre of Excellence for Mathematical and Statistical Modelling of Complex Systems (Univ Melbourne_lead institution)
    University of Melbourne
    Open grant
  • 2001 - 2003
    Analytical and Computational Methods for Studying Explosive Random Processes
    ARC Australian Research Council (Large grants)
    Open grant
  • 1999
    Travel scheme for collaborative research by Dr P Pollett at Victoria University of Wellington New Zealand
    UQ Travel Grants Scheme
    Open grant
  • 1997 - 1999
    Analytical and computational methods for assessing the performance of telecommunications networks
    ARC Australian Research Council (Large grants)
    Open grant
  • 1995 - 1997
    Analytical and computational methods for modelling evanescent random processes
    ARC Australian Research Council (Large grants)
    Open grant

Supervision

Availability

Emeritus Professor Philip Pollett is:
Not available for supervision

Supervision history

Completed supervision

Media

Enquiries

Contact Emeritus Professor Philip Pollett directly for media enquiries about:

  • Gambling - mathematics
  • Lotto - mathematics
  • Markov chains - mathematics
  • Probability - mathematics
  • Stochastic processes - mathematics

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