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
Biography
Applied statistician, interested in developing flexible models that enhance our understanding of data and facilitate inference.
- '98 - BA in Mathematical Tripos, Cambridge
- '00 - MSc in Statistics, University of Illinois Urbana-Champaign
- '05 - PhD in Statistics, University of Illinois Urbana-Champaign
Research interests
My research interests include quantile regression, survival data analysis, semiparametric models and multivariate data analysis. My main areas of application are biostatistics, epidemiology, forensic statistics, chemometrics and linguistics.
Research units
Publications
Selected publications
Napier, G., Neocleous, T. and Nobile, A. (2015) A composite Bayesian hierarchical model of compositional data with zeros. Journal of Chemometrics, 9(2), pp. 96-108. (doi: 10.1002/cem.2681)
Neocleous, T. , 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. and Neocleous, T. (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)
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)
All publications
Supervision
Dimitra Eleftheriou (Ph.D. 2017-), jointly supervised with L. Evers. Modelling biomarkers for clinical and sports applications.
Taweesak Changgam (Ph.D 2020-), jointly supervised with C. Anderson. Models for child growth.
Jorge Sanchez (Ph.D. 2020-), jointly supervised with N. Dean. Models for forensic spectroscopy data.
Catherine Holland (Ph.D. 2020-), jointly supervised with G. Napier. Bayesian models for compositional data.