I am a Lecturer in Statistics in the Department of Mathematics at Brunel University London and an Honorary Lecturer in the Department of Epidemiology and Biostatistics in the School of Public Health at Imperial College London.
Until 2014 I was a Leverhulme Early Career Research Fellow in the Department of Epidemiology and Biostatistics in the School of Public Health at Imperial College London. Before joining Imperial College, I was a Brunel Fellow in the Mathematics Department of the University of Bristol, funded by the SuSTaIn initiative.
I have completed my PhD under the supervision of Prof. Jim Smith. During my postgraduate studies I worked on Bayesian clustering algorithms, in collaboration with the Millar Lab (University of Edinburgh) and the Observatoire Ocenealogique of Banyuls-de-mer.
I completed my first degree in the Department of Statistics of the University of Florence (Italy) in 2005. The title of my final project was "Graphical Gaussian Models in R", supervised by Prof. Giovanni Marchetti. In 2006 I completed the MSc in Statistics at the University of Warwick with a dissertation titled "Particle Filters and Adaptive Estimation", supervised by Dr. Anastasia Papavasiliou.
More generally, my interests extend to aspects of Bayesian analysis and its applications.
More about me on my webpage.
et al., 2017, A space-time multivariate Bayesian model to analyse road traffic accidents by severity, Journal of the Royal Statistical Society Series A - Statistics in Society, Vol:180, ISSN:0964-1998, Pages:119-139
et al., 2015, Modeling spatial effects of PM2.5 on term low birth weight in Los Angeles County, Environmental Research, Vol:142, ISSN:0013-9351, Pages:354-364
et al., 2015, Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles, Environment International, Vol:79, ISSN:0160-4120, Pages:56-64
et al., 2014, Blood Pressure Differences Associated With Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART)-Like Diet Compared With a Typical American Diet, Hypertension, Vol:64, ISSN:0194-911X, Pages:1198-U86
et al., 2013, A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer, BMC Medical Research Methodology, Vol:13, ISSN:1471-2288
Hastie DI, Liverani S, Richardson S, 2015, Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations, Statistics and Computing, Vol:25, ISSN:0960-3174, Pages:1023-1037
et al., 2015, PReMiuM: An R Package for Profile Regression Mixture Models Using Dirichlet Processes, Journal of Statistical Software, Vol:64, ISSN:1548-7660, Pages:1-30
et al., 2010, Orchestrated transcription of biological processes in the marine picoeukaryote Ostreococcus exposed to light/dark cycles, BMC Genomics, Vol:11, ISSN:1471-2164
et al., 2009, Efficient Utility-based Clustering over High Dimensional Partition Spaces, Bayesian Analysis, Vol:4, ISSN:1931-6690, Pages:539-572
Smith JQ, Anderson PE, Liverani S, 2008, Separation measures and the geometry of Bayes factor selection for classification, Journal of the Royal Statistical Society Series B - Statistical Methodology, Vol:70, ISSN:1369-7412, Pages:957-980
Akacha M, Fonseca TCO, Liverani S, 2011, Data Mining for Longitudinal Data with Different Treatments, 7th Biannual Meeting of the Classification-and-Data-Analysis-Group of the Italian-Statistical-Society, SPRINGER-VERLAG BERLIN, Pages:409-416, ISSN:1431-8814
Liverani S, Petrucci A, 2011, Spatial Clustering of Multivariate Data Using Weighted MAX-SAT, 7th Biannual Meeting of the Classification-and-Data-Analysis-Group of the Italian-Statistical-Society, SPRINGER-VERLAG BERLIN, Pages:239-246, ISSN:1431-8814
Liverani S, Cussens J, Smith JQ, 2010, Searching a Multivariate Partition Space Using MAX-SAT, 6th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, SPRINGER-VERLAG BERLIN, Pages:240-+, ISSN:0302-9743
Liverani S, Papavasiliou A, 2006, Entropy based adaptive particle filter, IEEE Nonlinear Statistical Signal Processing Workshop, IEEE, Pages:87-90
Liverani S, 2010, Bayesian Clustering of Curves and the Search of the PartitionSpace