Dr Tereza Neocleous

  • Senior Lecturer (Statistics)

telephone: 01413306117
email: Tereza.Neocleous@glasgow.ac.uk

School Of Maths & Stats, Room 317 Maths & Stats Building, Phone: 330 6117, University Place, Glasgow, G12 8QQ

Import to contacts

ORCID iDhttps://orcid.org/0000-0001-7792-4541

Research interests

I am an applied statistician interested in developing flexible models that enhance our understanding of data to facilitate inference. My research focuses on modelling multilevel, multivariate data with applications in forensic science, health, the environment and social science.

Research groups

Publications

Selected publications

Lee, D. ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(5), pp. 905-920. (doi: 10.1111/j.1467-9876.2010.00725.x)

Napier, Gary, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)

Chanialidis, Charalampos ORCID logoORCID: https://orcid.org/0000-0002-1913-6122, Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2018) Efficient Bayesian inference for COM-Poisson regression models. Statistics and Computing, 28(3), pp. 595-608. (doi: 10.1007/s11222-017-9750-x)

Biosa, Giulia, Giurghita, Diana, Alladio, Eugenio, Vincenti, Marco and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2020) Evaluation of forensic data using logistic regression-based classification methods and an R Shiny implementation. Frontiers in Chemistry, 8, 738. (doi: 10.3389/fchem.2020.00738) (PMID:33195014) (PMCID:PMC7609892)

All publications

List by: Type | Date

Jump to: 2025 | 2023 | 2022 | 2020 | 2018 | 2017 | 2016 | 2015 | 2014 | 2011 | 2010 | 2009 | 2008 | 2006
Number of items: 20.

2025

Eleftheriou, Dimitra, Piper, Thomas, Thevis, Mario and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2025) A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles. International Journal of Biostatistics, (doi: 10.1515/ijb-2024-0019) (PMID:40150811) (Early Online Publication)

2023

Sanchez Gomez, Jorge, Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2023) Variable Selection for a Contaminated Mixture of Normals Classification Model. In: 5th International Conference on Statistics: Theory and Applications (ICSTA'23) Proceedings, Brunel University, London, UK, 3-5 Aug 2023, (doi: 10.11159/icsta23.148)

2022

Szili, Benjamin, Niu, Mu and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2022) A Structural Learning Method for Graphical Models. In: 4th International Conference on Statistics: Theory and Applications (ICSTA'22), Prague, Czech Republic, 28-30 Jul 2022, p. 113. ISBN 9781990800085 (doi: 10.11159/icsta22.113)

2020

Nic Daeid, Niamh, Biedermann, Alex, Champod, Christophe, Hutton, Jane, Jackson, Graham, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Spiegelhalter, David, Willis, Sheila, Kitchin, David and Wilson, Amy (2020) The Use of Statistics in Legal Proceedings: A primer for the courts. Series: Primers for courts. The Royal Society: United Kingdom. ISBN 9781782524861

Biosa, Giulia, Giurghita, Diana, Alladio, Eugenio, Vincenti, Marco and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2020) Evaluation of forensic data using logistic regression-based classification methods and an R Shiny implementation. Frontiers in Chemistry, 8, 738. (doi: 10.3389/fchem.2020.00738) (PMID:33195014) (PMCID:PMC7609892)

2018

Chanialidis, Charalampos ORCID logoORCID: https://orcid.org/0000-0002-1913-6122, Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2018) Efficient Bayesian inference for COM-Poisson regression models. Statistics and Computing, 28(3), pp. 595-608. (doi: 10.1007/s11222-017-9750-x)

2017

Alexander, Craig ORCID logoORCID: https://orcid.org/0000-0001-6734-747X, Stuart-Smith, Jane ORCID logoORCID: https://orcid.org/0000-0001-7400-9436, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001 (2017) Using Chain Graph Models for Structural Inference With an Application to Linguistic Data. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 270-274.

2016

Martyna, Agnieszka, Zadora, Grzegorz, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Michalska, Aleksandra and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (2016) Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra. Analytica Chimica Acta, 931, pp. 34-46. (doi: 10.1016/j.aca.2016.05.016) (PMID:27282749)

2015

Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126, Nobile, Agostino and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2015) An online application for the classification and evidence evaluation of forensic glass fragments. Chemometrics and Intelligent Laboratory Systems, 146, pp. 418-425. (doi: 10.1016/j.chemolab.2015.06.013)

Napier, Gary, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)

2014

Chanialidis, Charalampos, Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2014) Retrospective sampling in MCMC with an application to COM-Poisson regression. Stat, 3(1), pp. 273-290. (doi: 10.1002/sta4.61)

2011

Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Aitken, C. and Zadora, G. (2011) Transformations for compositional data with zeros with an application to forensic evidence evaluation. Chemometrics and Intelligent Laboratory Systems, 109(1), pp. 77-85. (doi: 10.1016/j.chemolab.2011.08.003)

2010

Lee, D. ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(5), pp. 905-920. (doi: 10.1111/j.1467-9876.2010.00725.x)

Zadora, Grzegorz and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) Evidential value of physicochemical data-comparison of methods of glass database creation. Journal of Chemometrics, 24(7-8), pp. 367-378. (doi: 10.1002/cem.1276)

Dowlman, E. A., Martin, N. C., Foy, M. J., Lochner, T. and Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) The prevalence of mixed DNA profiles on fingernail swabs. Science and Justice, 50(2), pp. 64-71. (doi: 10.1016/j.scijus.2009.03.005)

Zadora, G., Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Aitken, C. (2010) A Two-Level Model for Evidence Evaluation in the Presence of Zeros. Journal of Forensic Sciences, 55(2), pp. 371-384. (doi: 10.1111/j.1556-4029.2009.01316.x)

2009

Neocleous, T. and Portnoy, S. (2009) Partially linear censored quantile regression. Lifetime Data Analysis, 15(3), pp. 357-378. (doi: 10.1007/s10985-009-9117-5)

Zadora, G. and Neocleous, T. (2009) Likelihood ratio model for classification of forensic evidence. Analytica Chimica Acta, 642(1-2), pp. 266-278. (doi: 10.1016/j.aca.2008.12.013)

2008

Neocleous, T. and Portnoy, S. (2008) On monotonicity of regression quantile functions. Statistics and Probability Letters, 78(10), pp. 1226-1229. (doi: 10.1016/j.spl.2007.11.024)

2006

Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Branden, Karlien Vanden and Portnoy, Stephen (2006) Correction to censored regression quantiles by s. portnoy, 98 (2003), 1001–1012. Journal of the American Statistical Association, 101(474), pp. 860-861. (doi: 10.1198/016214506000000087)

This list was generated on Sat Jun 14 21:38:50 2025 BST.
Jump to: Articles | Books | Conference Proceedings
Number of items: 20.

Articles

Eleftheriou, Dimitra, Piper, Thomas, Thevis, Mario and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2025) A multivariate Bayesian learning approach for improved detection of doping in athletes using urinary steroid profiles. International Journal of Biostatistics, (doi: 10.1515/ijb-2024-0019) (PMID:40150811) (Early Online Publication)

Biosa, Giulia, Giurghita, Diana, Alladio, Eugenio, Vincenti, Marco and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2020) Evaluation of forensic data using logistic regression-based classification methods and an R Shiny implementation. Frontiers in Chemistry, 8, 738. (doi: 10.3389/fchem.2020.00738) (PMID:33195014) (PMCID:PMC7609892)

Chanialidis, Charalampos ORCID logoORCID: https://orcid.org/0000-0002-1913-6122, Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2018) Efficient Bayesian inference for COM-Poisson regression models. Statistics and Computing, 28(3), pp. 595-608. (doi: 10.1007/s11222-017-9750-x)

Martyna, Agnieszka, Zadora, Grzegorz, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Michalska, Aleksandra and Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 (2016) Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra. Analytica Chimica Acta, 931, pp. 34-46. (doi: 10.1016/j.aca.2016.05.016) (PMID:27282749)

Napier, Gary ORCID logoORCID: https://orcid.org/0000-0002-2447-4126, Nobile, Agostino and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2015) An online application for the classification and evidence evaluation of forensic glass fragments. Chemometrics and Intelligent Laboratory Systems, 146, pp. 418-425. (doi: 10.1016/j.chemolab.2015.06.013)

Napier, Gary, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)

Chanialidis, Charalampos, Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Nobile, Agostino (2014) Retrospective sampling in MCMC with an application to COM-Poisson regression. Stat, 3(1), pp. 273-290. (doi: 10.1002/sta4.61)

Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Aitken, C. and Zadora, G. (2011) Transformations for compositional data with zeros with an application to forensic evidence evaluation. Chemometrics and Intelligent Laboratory Systems, 109(1), pp. 77-85. (doi: 10.1016/j.chemolab.2011.08.003)

Lee, D. ORCID logoORCID: https://orcid.org/0000-0002-6175-6800 and Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) Bayesian quantile regression for count data with application to environmental epidemiology. Journal of the Royal Statistical Society: Series C (Applied Statistics), 59(5), pp. 905-920. (doi: 10.1111/j.1467-9876.2010.00725.x)

Zadora, Grzegorz and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) Evidential value of physicochemical data-comparison of methods of glass database creation. Journal of Chemometrics, 24(7-8), pp. 367-378. (doi: 10.1002/cem.1276)

Dowlman, E. A., Martin, N. C., Foy, M. J., Lochner, T. and Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2010) The prevalence of mixed DNA profiles on fingernail swabs. Science and Justice, 50(2), pp. 64-71. (doi: 10.1016/j.scijus.2009.03.005)

Zadora, G., Neocleous, T. ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Aitken, C. (2010) A Two-Level Model for Evidence Evaluation in the Presence of Zeros. Journal of Forensic Sciences, 55(2), pp. 371-384. (doi: 10.1111/j.1556-4029.2009.01316.x)

Neocleous, T. and Portnoy, S. (2009) Partially linear censored quantile regression. Lifetime Data Analysis, 15(3), pp. 357-378. (doi: 10.1007/s10985-009-9117-5)

Zadora, G. and Neocleous, T. (2009) Likelihood ratio model for classification of forensic evidence. Analytica Chimica Acta, 642(1-2), pp. 266-278. (doi: 10.1016/j.aca.2008.12.013)

Neocleous, T. and Portnoy, S. (2008) On monotonicity of regression quantile functions. Statistics and Probability Letters, 78(10), pp. 1226-1229. (doi: 10.1016/j.spl.2007.11.024)

Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Branden, Karlien Vanden and Portnoy, Stephen (2006) Correction to censored regression quantiles by s. portnoy, 98 (2003), 1001–1012. Journal of the American Statistical Association, 101(474), pp. 860-861. (doi: 10.1198/016214506000000087)

Books

Nic Daeid, Niamh, Biedermann, Alex, Champod, Christophe, Hutton, Jane, Jackson, Graham, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541, Spiegelhalter, David, Willis, Sheila, Kitchin, David and Wilson, Amy (2020) The Use of Statistics in Legal Proceedings: A primer for the courts. Series: Primers for courts. The Royal Society: United Kingdom. ISBN 9781782524861

Conference Proceedings

Sanchez Gomez, Jorge, Dean, Nema ORCID logoORCID: https://orcid.org/0000-0002-5080-2517 and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2023) Variable Selection for a Contaminated Mixture of Normals Classification Model. In: 5th International Conference on Statistics: Theory and Applications (ICSTA'23) Proceedings, Brunel University, London, UK, 3-5 Aug 2023, (doi: 10.11159/icsta23.148)

Szili, Benjamin, Niu, Mu and Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 (2022) A Structural Learning Method for Graphical Models. In: 4th International Conference on Statistics: Theory and Applications (ICSTA'22), Prague, Czech Republic, 28-30 Jul 2022, p. 113. ISBN 9781990800085 (doi: 10.11159/icsta22.113)

Alexander, Craig ORCID logoORCID: https://orcid.org/0000-0001-6734-747X, Stuart-Smith, Jane ORCID logoORCID: https://orcid.org/0000-0001-7400-9436, Neocleous, Tereza ORCID logoORCID: https://orcid.org/0000-0001-7792-4541 and Evers, Ludger ORCID logoORCID: https://orcid.org/0000-0002-4844-4001 (2017) Using Chain Graph Models for Structural Inference With an Application to Linguistic Data. In: 32nd International Workshop on Statistical Modelling, Groningen, Netherlands, 03-07 Jul 2017, pp. 270-274.

This list was generated on Sat Jun 14 21:38:50 2025 BST.

Supervision

I welcome enquiries from students interested in PhD or MSc by Research projects in the following areas:

Forensic statistics

Multivariate data analysis for hierarchical/longitudinal data

Quantile regression applications in health and social science

Current PhD supervision:

Completed student research projects:

Taweesak Channgam (Ph.D. 2020-2024, jointly supervised with C. Anderson). Flexible quantile regression and Bayesian quantile modelling for longitudinal child growth data.

Jorge Sanchez (Ph.D. 2020-2024, jointly supervised with N. Dean). Variable selection for supervised and semi-supervised mixtures of contaminated Gaussian distributions.

Benjamin Szili (Ph.D. 2018-22, jointy supervised with M. Niu). Structural learning for continuous data using graphical models.

Dimitra Eleftheriou (Ph.D. 2017-22). Bayesian hierarchical modelling for biomarkers with applications to doping detection and prostate cancer prediction.

Craig Alexander (Ph.D. 2014-18, jointly supervised with L. Evers and J. Stuart-Smith). Multilevel models for the analysis of linguistic data.

Charalampos Chanialidis (Ph.D., 2011-15, jointly supervised with L. Evers). Bayesian mixture models for count data.

Gary Napier (Ph.D., 2010-14, jointly supervised with A. Nobile). A Bayesian hierarchical model of compositional data with zeros: classification and evidence evaluation of forensic glass.

Elizabeth Irwin (M.Sc. by research, 2012-13). Statistical methods of constructing growth charts.

Laura Allison (M.Sc. by research, 2010-11). Evaluation of transfer evidence.

Gary Napier (M.Sc. by research, 2009-10, jointly supervised with S. Senn). Modelling obesity in Scotland.

Teaching

I teach a variety of statistics courses and supervise projects at the undergraduate and postgraduate level. My teaching philosophy is centered around the belief that learning is most effective when it's hands-on. I design my courses with this in mind, aiming to encourage active participation and learning by doing. In addition to in-person teaching, in recent years I have worked on designing and delivering online courses and assessments for the Online MSc in Data Analytics.

Additional information

Personal webpage: 

https://www.maths.gla.ac.uk/~tereza/


A portrait of Tereza Neocleous