Position | Professor of Statistics |
Phone (external) | +44 (0)20 7679 1864 |
Phone (internal) | 41864 |
Email (@ucl.ac.uk) | giampiero.marra |
Personal webpage | http://www.homepages.ucl.ac.uk/~ucakgm0/ |
Themes | Statistics in Biomedicine and Health Economics, General Theory and Methodology |
Biographical Details
Giampiero has been working at UCL since September 2010. After having graduated in Statistics and Economics at the University of Bologna in 2004, he worked as an econometrician and statistician for a consulting firm and a multinational company. In 2007, he was awarded an MSc in Statistics at UCL, and defended his PhD thesis at the University of Bath in November 2010.
Research Interests
Penalized likelihood based inference in semiparametric simultaneous joint equation models, copula regression, generalized additive modelling, distributional regression, generalised additive models for location, scale and shape, flexible survival modelling.
Keywords: endogeneity, non-random sample selection, MNAR missing data, observed and unobserved confounding, penalised regression spline, copula, generalized regression, joint models, computational statistics, gamlss, survival data.
Selected publications
- Marra G, Radice R (2020) Copula Link-Based Additive Models for Right-Censored Event Time Data, Journal of the American Statistical Association, 115(530), 886-895, doi.
- Dettoni R, Marra G, Radice R (in press) Generalized Link-Based Additive Survival Models with Informative Censoring, Journal of Computational and Graphical Statistics, doi
- Marra G, Radice R, Zimmer D (in press) Estimating the Binary Endogenous Effect of Insurance on Doctor Visits by Copula-Based Regression Additive Models, Journal of the Royal Statistical Society Series C, doi.
- Marra G, Radice R, et al. (2017), A Simultaneous Equation Approach to Estimating HIV Prevalence with Non-Ignorable Missing Responses, Journal of the American Statistical Association, 112(518), 484-496, GJRM R package.