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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

101 - 120 of 141 works

1999

Conference Publication

Quasistationarity in populations that are subject to large-scale mortality or emigration

Pollett, P. K. (1999). Quasistationarity in populations that are subject to large-scale mortality or emigration. MODSIM 99 - International Congress on Modelling & Simulation, Hamilton, NZ, 6-9 December 1999. Hamilton, NZ: Modelling and Simulation Society of Aust. and NZ.

Quasistationarity in populations that are subject to large-scale mortality or emigration

1999

Journal Article

Quasistationary distributions for continuous time Markov chains when absorption is not certain

Pollett, PK (1999). Quasistationary distributions for continuous time Markov chains when absorption is not certain. Journal of Applied Probability, 36 (1), 268-272. doi: 10.1017/S0021900200017022

Quasistationary distributions for continuous time Markov chains when absorption is not certain

1999

Journal Article

Quasistationary distributions for continuous time Markov chains when absorption is not certain

Pollett, P. K. (1999). Quasistationary distributions for continuous time Markov chains when absorption is not certain. Journal of Applied Probability, 36 (1), 268-272. doi: 10.1239/jap/1032374247

Quasistationary distributions for continuous time Markov chains when absorption is not certain

1999

Journal Article

Quasi-stationarity of discrete-time Markov chains with drift to infinity

Coolen-Schrijner, P. and Pollett, P. K. (1999). Quasi-stationarity of discrete-time Markov chains with drift to infinity. Methodology and Computing in Applied Probability, 1 (1), 81-96. doi: 10.1023/a:1010018406356

Quasi-stationarity of discrete-time Markov chains with drift to infinity

1999

Conference Publication

The analysis of continuous-time Markovian models using expected rates

Pollett, P. K. and Thompson, M. (1999). The analysis of continuous-time Markovian models using expected rates. 1st West.Pacific & 34d Aust.-Japan Workshop on Stochastic Models in Engin. Technology & Management, Christchurch, NZ, 23-25 September 1999. Brisbane: Cen. for Statistics, Univ. of Qld.

The analysis of continuous-time Markovian models using expected rates

1999

Journal Article

Modelling quasi-stationary behaviour in metapopulations

Pollett, PK (1999). Modelling quasi-stationary behaviour in metapopulations. Mathematics and Computers in Simulation, 48 (4-6), 393-405. doi: 10.1016/S0378-4754(99)00019-1

Modelling quasi-stationary behaviour in metapopulations

1997

Journal Article

Non-explosivity of limits of conditioned birth and death processes

Roberts, GO, Jacka, SD and Pollett, PK (1997). Non-explosivity of limits of conditioned birth and death processes. Journal of Applied Probability, 34 (1), 35-45. doi: 10.2307/3215172

Non-explosivity of limits of conditioned birth and death processes

1997

Journal Article

THE QUASI-STATIONARY BEHAVIOR OF QUASI-BIRTH-AND-DEATH PROCESSES

Bean, N. G., Bright, L., Latouche, G., Pearce, C. E. M., Pollett, P. K. and Taylor, P. G. (1997). THE QUASI-STATIONARY BEHAVIOR OF QUASI-BIRTH-AND-DEATH PROCESSES. Annals of Applied Probability, 7 (1), 134-155. doi: 10.1214/aoap/1034625256

THE QUASI-STATIONARY BEHAVIOR OF QUASI-BIRTH-AND-DEATH PROCESSES

1997

Journal Article

Limiting conditional distributions for birth-death processes

Kijima, M, Nair, MG, Pollett, PK and VanDoorn, EA (1997). Limiting conditional distributions for birth-death processes. Advances In Applied Probability, 29 (1), 185-204. doi: 10.2307/1427866

Limiting conditional distributions for birth-death processes

1996

Journal Article

Modelling the long-term behaviour of evanescent ecological systems

Pollett, PK (1996). Modelling the long-term behaviour of evanescent ecological systems. Ecological Modelling, 86 (2-3), 135-139. doi: 10.1016/0304-3800(95)00040-2

Modelling the long-term behaviour of evanescent ecological systems

1995

Journal Article

The Determination of Quasi-Stationary Distributions Directly From the Transition Rates of An Absorbing Markov-Chain

Pollett, PK (1995). The Determination of Quasi-Stationary Distributions Directly From the Transition Rates of An Absorbing Markov-Chain. Mathematical and Computer Modelling, 22 (10-12), 279-287. doi: 10.1016/0895-7177(95)00205-G

The Determination of Quasi-Stationary Distributions Directly From the Transition Rates of An Absorbing Markov-Chain

1994

Journal Article

On the Identification of Continuous-Time Markov-Chains with a Given Invariant Measure

Pollett, PK (1994). On the Identification of Continuous-Time Markov-Chains with a Given Invariant Measure. Journal of Applied Probability, 31 (4), 897-910. doi: 10.2307/3215315

On the Identification of Continuous-Time Markov-Chains with a Given Invariant Measure

1994

Journal Article

Poisson Approximations for Telecommunications Networks (Vol 32, Pg 348, 1991)

Brown, TC and Pollett, PK (1994). Poisson Approximations for Telecommunications Networks (Vol 32, Pg 348, 1991). Journal of the Australian Mathematical Society Series B-Applied Mathematics, 36 (01), 132-132. doi: 10.1017/S0334270000010298

Poisson Approximations for Telecommunications Networks (Vol 32, Pg 348, 1991)

1994

Journal Article

An Efficient Procedure for Computing Quasi-Stationary Distributions of Markov-Chains with Sparse Transition Structure

Pollett, PK and Stewart, DE (1994). An Efficient Procedure for Computing Quasi-Stationary Distributions of Markov-Chains with Sparse Transition Structure. Advances in Applied Probability, 26 (1), 68-79. doi: 10.2307/1427580

An Efficient Procedure for Computing Quasi-Stationary Distributions of Markov-Chains with Sparse Transition Structure

1993

Journal Article

On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains (Vol 25, Pg 82, 1993)

Nair, MG and Pollett, PK (1993). On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains (Vol 25, Pg 82, 1993). Advances in Applied Probability, 25 (3), 717-719.

On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains (Vol 25, Pg 82, 1993)

1993

Journal Article

On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains

Nair, MG and Pollett, PK (1993). On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains. Advances in Applied Probability, 25 (1), 82-102. doi: 10.2307/1427497

On the Relationship Between Mu-Invariant Measures and Quasi-Stationary Distributions for Continuous-Time Markov-Chains

1993

Journal Article

On the problem of establishing the existence of stationary distributions for continuous-time markov chains

Pollett, P. K. and Taylor, P. G. (1993). On the problem of establishing the existence of stationary distributions for continuous-time markov chains. Probability in the Engineering and Informational Sciences, 7 (4), 529-543. doi: 10.1017/S0269964800003119

On the problem of establishing the existence of stationary distributions for continuous-time markov chains

1992

Journal Article

Connecting Internally Balanced Quasi-Reversible Markov-Processes

Henderson, W, Pearce, Cem, Pollett, PK and Taylor, PG (1992). Connecting Internally Balanced Quasi-Reversible Markov-Processes. Advances in Applied Probability, 24 (4), 934-959. doi: 10.2307/1427720

Connecting Internally Balanced Quasi-Reversible Markov-Processes

1992

Journal Article

Diffusion Approximations for Some Simple Chemical-Reaction Schemes

Pollett, PK and Vassallo, A (1992). Diffusion Approximations for Some Simple Chemical-Reaction Schemes. Advances in Applied Probability, 24 (4), 875-893. doi: 10.2307/1427717

Diffusion Approximations for Some Simple Chemical-Reaction Schemes

1992

Journal Article

A NOTE ON EVANESCENT PROCESSES

Pollett, P. K. and Jones, D. Vere (1992). A NOTE ON EVANESCENT PROCESSES. Australian Journal of Statistics, 34 (3), 531-536. doi: 10.1111/j.1467-842X.1992.tb01067.x

A NOTE ON EVANESCENT PROCESSES

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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