Estimating parametric semi-Markov models from panel data using phase-type approximations. - Andrew C. Titman (Stat. Comput., 2014)

Input uncertainty quantification for simulation models with piecewise-constant non-stationary Poisson arrival processes. - Lucy E. Morgan; Andrew C. Titman; David J. Worthington; Barry L. Nelson (WSC, 2016)

Non-parametric maximum likelihood estimation of interval-censored failure time data subject to misclassification. - Andrew C. Titman (Stat. Comput., 2017)

A Spline-Based Method for Modelling and Generating A Nonhomogeneous Poisson Process. - Lucy E. Morgan; Barry L. Nelson; Andrew C. Titman; David J. Worthington (WSC, 2019)

Detecting bias due to input modelling in computer simulation. - Lucy E. Morgan; Barry L. Nelson; Andrew C. Titman; David J. Worthington (Eur. J. Oper. Res., 2019)

Comparing Data Collection Strategies via Input Uncertainty When Simulating Testing Policies Using Viral Load Profiles. - Drupad Parmar; Lucy E. Morgan; Andrew C. Titman; Eva D. Regnier; Susan M. Sanchez (WSC, 2021)

Input Uncertainty Quantification for Quantiles. - Drupad Parmar; Lucy E. Morgan; Andrew C. Titman; Richard A. Williams; Susan M. Sanchez (WSC, 2022)

A spline function method for modelling and generating a nonhomogeneous poisson process. - Lucy E. Morgan; Barry L. Nelson; Andrew C. Titman; David J. Worthington (J. Simulation, 2024)