Dr Maria De Iorio
|Position||Reader in Statistics|
|Phone (external)||(0)20 3108 3245|
|Themes||Biostatistics, Computational Statistics, General Theory and Methodology|
Maria De Iorio is a Reader in Statistics in the Department of
Statistical Science at UCL. She obtained her undergraduate degree in
Economics from Bocconi University, Italy and her MSc and PhD in
Statistics from Duke University, USA. She then joined the Mathematical
Genetics group of the University of Oxford as a postdoctoral research
assistant. In 2003 she moved to Imperial College London, working first
as a lecturer and then a senior lecturer. In September 2011 she joined
the statistics group at UCL.
Bayesian statistics and how to apply Bayesian methods to analyse data, Bayesian Nonparametrics, Biostatistics, Medical Statistics, Genomics, Metabonomics.
- Beatriz Valcárcel, Peter Würtz, Nafisa-Katrin Seich al Basatena, Taru Tukiainen, Antti J. Kangas, Pasi Soininen, Marjo-Riitta Järvelin, Mika Ala-Korpela, Timothy M. Ebbels, Maria de Iorio (2011). “A differential network approach to exploring differences between biological states: an application to prediabetes.” Plos ONE, 6(9).
- Ajay Jasra, Maria De Iorio, Marc Chadeau-Hyam (2011). The Time Machine: A Simulation Approach for Stochastic Trees. Proceeding of Royal Society A. vol. 467 no. 2132: 2350-2368.
- A. Jara, E, Lesaffre, M. De Iorio, F.A. Quintana (2010). “Bayesian Semiparametric Inference for Multivariate Doubly-Interval-Censored Data”. Annals of Applied Statistics, 4(4):2126-2149.
- M. De Iorio, R. C. Griffiths (2004). “Importance Sampling on Coalescent Histories. I”. Advances in Applied Probability 36(2): 417-433.
- M. De Iorio, P. Müller, G. L. Rosner, S. N. MacEachern (2004). “An ANOVA Model for Dependent Random Measures”. Journal of the American Statistical Association 99 (465): 205-215.
Page last modified on 22 mar 12 16:00