Dr Tereza Neocleous
- Senior Lecturer (Statistics)
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
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.
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)
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.