# 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.