Veronica is a reader in statistics. She holds a first degree in mathematics from the University of Perugia in Italy and a PhD in statistics from Imperial College London. During her PhD she worked under the supervision of Prof David Hand on statistical classification methods, with a particular emphasis to applications on credit scoring. She joined Brunel University London in 2003 as a research fellow in bioinformatics within a BBRSC-funded UK consortium. During this time she worked under the supervision of Prof Xiaohui Liu on the statistical design and analysis of gene expression data produced by microarray experiments. In 2007, she was appointed a Lecturer in the Department of Mathematics.
Newest selected publications
Augugliaro, L., Abbruzzo, A. and Vinciotti, V. (2018) 'L1-Penalized Censored Gaussian Graphical Model'. Biostatistics. ISSN: 1465-4644
Peluso, A., Berta, P. and Vinciotti, V. (2018) 'Do pay-for-performance incentives lead to a better health outcome?'. Empirical Economics. pp. 1 - 18. ISSN: 0377-7332
Klakattawi, HS., Vinciotti, V. and Yu, K. (2018) 'A Simple and Adaptive Dispersion Regression Model for Count Data'. Entropy 20, no. 2 (2018): 142, 20 (2). pp. 142 - 142. ISSN: 1099-4300 Open Access Link
Haselimashhadi, H., Vinciotti, V. and Yu, K. (2018) 'A novel Bayesian regression model for counts with an application to health data'. JOURNAL OF APPLIED STATISTICS, 45 (6). pp. 1085 - 1105. ISSN: 0266-4763 Open Access Link
Peluso, A., Vinciotti, V. and Yu, K. (2018) 'Discrete Weibull generalised additive model: an application to countfertility data'. Journal of the Royal Statistical Society. Series C: Applied Statistics. ISSN: 0035-9254 Open Access Link