Simulation from non-standard distributions using envelope methods. - Michael J. Evans; Tim B. Swartz (WSC, 2000)

Importance sampling with skew-normal distributions. - Tim B. Swartz (WSC, 2005)

Optimal batting orders in one-day cricket. - Tim B. Swartz; Paramjit S. Gill; David Beaudoin; Basil M. deSilva (Comput. Oper. Res., 2006)

Duckworth-Lewis and Twenty20 cricket. - R. Bhattacharya; Paramjit S. Gill; Tim B. Swartz (J. Oper. Res. Soc., 2011)

Bayesian Analysis of Ordinal Survey Data Using the Dirichlet Process to Account for Respondent Personality Traits. - Saman Muthukumarana; Tim B. Swartz (Commun. Stat. Simul. Comput., 2014)

A study of the powerplay in one-day cricket. - Rajitha M. Silva; Ananda B. W. Manage; Tim B. Swartz (Eur. J. Oper. Res., 2015)

Biased penalty calls in the National Hockey League. - David Beaudoin; Oliver Schulte; Tim B. Swartz (Stat. Anal. Data Min., 2016)

Assessing the impact of fielding in Twenty20 cricket. - Harsha Perera; Jack Davis; Tim B. Swartz (J. Oper. Res. Soc., 2018)

Moment matching adaptive importance sampling with skew-student proposals. - Shijia Wang; Tim B. Swartz (Monte Carlo Methods Appl., 2022)

A generalized variant of two-sweep modulus-based matrix splitting iteration method for solving horizontal linear complementarity problems. - Si-Wei Liao; Guo-Feng Zhang 001; Zhao-Zheng Liang; Tim B. Swartz (Numer. Algorithms, 2022)

Editorial: Big data and data science in sport. - Pierpaolo D'Urso; Livia De Giovanni; Tim B. Swartz (Ann. Oper. Res., 2023)

The analysis of serve decisions in tennis using Bayesian hierarchical models. - Peter Tea; Tim B. Swartz (Ann. Oper. Res., 2023)

A preconditioned general modulus-based matrix splitting iteration method for solving horizontal linear complementarity problems. - Si-Wei Liao; Guo-Feng Zhang 001; Zhao-Zheng Liang; Tim B. Swartz (Numer. Algorithms, 2023)

On the time of corner kicks in soccer: an analysis of event history data. - Kangyi Ken Peng; X. Joan Hu; Tim B. Swartz (Comput. Stat., 2025)

A new metric for pitch control based on an intuitive motion model. - Lucas Y. Wu; Tim B. Swartz (Comput. Stat., 2025)