Staff Profile

Research Interests

Joint modelling of longitudinal and time-to-event data

R package development for joint models

Statistics in sports

Current Work

Computational methods for faster fitting of multivariate joint models of longitudinal and event time data

Software development (implemented in R) for faster fitting of mean-parameterised Conway-Maxwell-Poisson model

Models for bidispersed count data

Bivariate copula models for yellow cards in the men's Big 5 European football leagues

Undergraduate Teaching

This academic year (24/25) I will be teaching MAS3903 Linear Models (semester 1), MAS8502 Statistical Learning for Business Analytics (semester 1). I am on research sabbatical leave in semester 2.

• Articles

  • Oakley JL, Forshaw M, Philipson P, Wilson KJ. Examining the impact of critical attributes on hard drive failure times: Multi-state models for left-truncated and right-censored semi-competing risks data. Applied Stochastic Models in Business and Industry 2024, 40(3), 684-709.
  • Murray J, Philipson P. Fast estimation for generalised multivariate joint models using an approximate EM algorithm. Computational Statistics and Data Analysis 2023, 187, 107819.
  • Philipson P. A truncated mean-parameterised Conway-Maxwell-Poisson model for the analysis of Test match bowlers. Statistical Modelling 2024, 24(5), 480-495.
  • Philipson P, Huang A. A fast look-up method for Bayesian mean-parameterised Conway–Maxwell–Poisson regression models. Statistics and Computing 2023, 33(4), 81.
  • Murray J, Philipson P. A Fast Approximate EM Algorithm for Joint Models of Survival and Multivariate Longitudinal Data. Computational Statistics and Data Analysis 2022, 170, 107438.
  • Oakley JL, Wilson KJ, Philipson P. A condition-based maintenance policy for continuously monitored multi-component systems with economic and failure dependence. Reliability Engineering and System Safety 2022, 222, 108321.
  • Philipson P, Hickey GL, Crowther MJ, Kolamunnage-Dona R. Faster Monte Carlo estimation of joint models for time-to-event and multivariate longitudinal data. Computational Statistics and Data Analysis 2020, 151, 107010.