Dr Michail Papathomas

Senior Lecturer

Researcher profile

Phone

+44 (0)1334 46 1818

Email

M.Papathomas@st-andrews.ac.uk

Office

112 OB

Location

Observatory

 

PhD supervision

• Victor Velasco Pardo
• Ho-Hin Leung
• Hanyu Wang
• Calliste Fagard-Jenkin
• Chao Gao

Selected publications

• Open access

  A flexible framework for spatial capture-recapture with unknown identities

  Van Dam-Bates, P., Papathomas, M., Stevenson, B. C., Fewster, R. M., Turek, D., Stewart, F. E. C. & Borchers, D. L., Mar 2024, In: Biometrics. 80, 1, 12 p., ujad019.

  Research output: Contribution to journal › Article › peer-review

• Bayesian nonparametrics and mixture modelling

  Papathomas, M., 2023, (Accepted/In press) Flexible nonparametric curve estimation. Springer Nature

  Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

• Open access

  Chemical evolution of local post-starburst galaxies: implications for the mass-metallicity relation

  Leung, H-H., Wild, V., Papathomas, M., Carnall, A., Zheng, Y., Boardman, N. F., Wang, C. & Johansson, P. H., Mar 2024, In: Monthly Notices of the Royal Astronomical Society. 528, 3, 24 p.

  Research output: Contribution to journal › Article › peer-review

• Open access

  The 10-year follow-up of a community-based cohort of people with diabetes: the incidence of foot ulceration and death

  Shijat, M., Crawford, F., Cezard, G. I. & Papathomas, M., 21 Nov 2023, (E-pub ahead of print) In: Endocrinology, Diabetes & Metabolism. Early View, 13 p., e459.

  Research output: Contribution to journal › Article › peer-review

• Variance matrix priors for Dirichlet process mixture models with Gaussian kernels

  Jing, W., Papathomas, M. & Liverani, S., 2022, (Submitted) In: Mathematics arXiv.

  Research output: Contribution to journal › Article

• Open access

  Statistical challenges in mutational signature analyses of cancer sequencing data

  Velasco Pardo, V., Papathomas, M. & Lynch, A., 29 Nov 2022, Recent developments in statistics and data science: SPE2021, Évora, Portugal, October 13–16. Bispo, R., Henriques-Rodrigues, L., Alpizar-Jara, R. & de Carvalho, M. (eds.). Cham: Springer, p. 241-258 (Springer Proceedings in Mathematics & Statistics; vol. 398).

  Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

• Open access

  Parameter redundancy and the existence of maximum likelihood estimates in log-linear models

  Sharifi Far, S., Papathomas, M. & King, R., 1 Jul 2021, In: Statistica Sinica. 31, 3, p. 1125-1143

  Research output: Contribution to journal › Article › peer-review

• Open access

  On the correspondence of deviances and maximum-likelihood and interval estimates from log-linear to logistic regression modelling

  Jing, W. & Papathomas, M., 15 Jan 2020, In: Royal Society Open Science. 7, 1, 13 p., 191483.

  Research output: Contribution to journal › Article › peer-review

• Open access

  Multiple system estimation of victims of human trafficking: model assessment and selection

  Cruyff, M., Overstall, A., Papathomas, M. & McCrea, R., 22 Dec 2020, (E-pub ahead of print) In: Crime and Delinquency. Online First, 17 p.

  Research output: Contribution to journal › Article › peer-review

• Open access

  Common methodological challenges encountered with multiple systems estimation studies

  Vincent, K., Sharifi Far, S. & Papathomas, M., 22 Dec 2020, (E-pub ahead of print) In: Crime and Delinquency. OnlineFirst, 13 p.

  Research output: Contribution to journal › Article › peer-review

 

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