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
Tosetti, E. and Vinciotti, V. (2019) 'A computationally efficient correlated mixed probit model for credit risk inference'. Journal of the Royal Statistical Society: Series C, 68 (4). pp. 1183 - 1204. ISSN: 0035-9254 Open Access Link
Vinciotti, V., Tosetti, E., Moscone, F. and Lycett, M. (2019) 'The Impact of Inter-Firm Financial Transactions on the Credit Risk of SMEs.'. Journal of the Royal Statistical Society: Series A. ISSN: 0964-1998 Open Access Link
Peluso, A., Vinciotti, V. and Yu, K. (2019) 'Discrete Weibull generalised additive model: an application to count fertility data'. Journal of the Royal Statistical Society: Series C, 68 (3). pp. 565 - 583. ISSN: 0035-9254 Open Access Link
Peluso, A., Berta, P. and Vinciotti, V. (2018) 'Do pay-for-performance incentives lead to a better health outcome?'. Empirical Economics, 56 (6). pp. 1 - 18. ISSN: 0377-7332 Open Access Link