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Tereza Neocleous
Tereza Neocleous
Senior Lecturer in Statistics, University of Glasgow
Verified email at glasgow.ac.uk - Homepage
Title
Cited by
Cited by
Year
Bayesian quantile regression for count data with application to environmental epidemiology
D Lee, T Neocleous
Journal of the Royal Statistical Society: Series C (Applied Statistics) 59 …, 2010
1002010
Efficient Bayesian inference for COM-Poisson regression models
C Chanialidis, L Evers, T Neocleous, A Nobile
Statistics and Computing 28 (3), 595-608, 2018
652018
Likelihood ratio model for classification of forensic evidence
G Zadora, T Neocleous
Analytica chimica acta 642 (1-2), 266-278, 2009
502009
On monotonicity of regression quantile functions
T Neocleous, S Portnoy
Statistics & Probability Letters 78 (10), 1226-1229, 2008
502008
Correction to censored regression quantiles by S. Portnoy, 98 (2003), 1001-1012
T Neocleous, KV Branden, S Portnoy
Journal of the American Statistical Association 101 (474), 860-861, 2006
402006
The prevalence of mixed DNA profiles on fingernail swabs
EA Dowlman, NC Martin, MJ Foy, T Lochner, T Neocleous
Science & Justice 50 (2), 64-71, 2010
392010
Transformations for compositional data with zeros with an application to forensic evidence evaluation
T Neocleous, C Aitken, G Zadora
Chemometrics and Intelligent Laboratory Systems 109 (1), 77-85, 2011
352011
A Two‐Level Model for Evidence Evaluation in the Presence of Zeros*
G Zadora, T Neocleous, C Aitken
Journal of forensic sciences 55 (2), 371-384, 2010
352010
Hybrid approach combining chemometrics and likelihood ratio framework for reporting the evidential value of spectra
A Martyna, G Zadora, T Neocleous, A Michalska, N Dean
Analytica Chimica Acta 931, 34-46, 2016
232016
Evidential value of physicochemical data—comparison of methods of glass database creation
G Zadora, T Neocleous
Journal of Chemometrics 24 (7‐8), 367-378, 2010
162010
Partially linear censored quantile regression
T Neocleous, S Portnoy
Lifetime data analysis 15 (3), 357-378, 2009
102009
A composite Bayesian hierarchical model of compositional data with zeros
G Napier, T Neocleous, A Nobile
Journal of Chemometrics 29 (2), 96-108, 2015
92015
An online application for the classification and evidence evaluation of forensic glass fragments
G Napier, A Nobile, T Neocleous
Chemometrics and Intelligent Laboratory Systems 146, 418-425, 2015
82015
Evaluation of forensic data using logistic regression-based classification methods and an R Shiny implementation
G Biosa, D Giurghita, E Alladio, M Vincenti, T Neocleous
Frontiers in Chemistry 8, 738, 2020
72020
Retrospective sampling in MCMC with an application to COM‐Poisson regression
C Chanialidis, L Evers, T Neocleous, A Nobile
Stat 3 (1), 273-290, 2014
52014
A Partially Linear Censored Quantile Regression Model for Unemployment Duration
T Neocleous, S Portnoy
IRISS Working Paper Series, 2008
52008
The use of statistics in legal proceedings: a primer for courts
A Beiderman, C Champod, J Hutton, G Jackson, L Kitchin, T Neocleous, ...
The Royal Society, 2020
42020
A partly linear model for censored regression quantiles
T Neocleous
University of Illinois at Urbana-Champaign, 2006
42006
Bayesian density regression for count data
C Chanialidis, L Evers, T Neocleous
arXiv preprint arXiv:1406.1882, 2014
22014
Recent developments in likelihood ratio models for multivariate compositional data
G Zadora, T Neocleous, CGG Aitken
Science & Justice 1 (50), 30, 2010
22010
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