- Home
- People
- Past Members of ACEMS
- Davide Ferrari
Dr Davide Ferrari
The University of Melbourne
I am an academic statistician with a continuing position as a Lecturer in Statistics in the School of Mathematics and Statistics at the University of Melbourne. I am also an Associate Investigator at the ARC Centre of Excellence for Mathematical and Statistical Frontiers. My main research interests are minimum divergence estimation methods, robust statistics and model selection. Recently, I have started working on model selection and estimation methods for intractable likelihoods in the context of complex biological data which allows me to combine my interest in likelihood-based methods with my interest in biomedical applications.
Research Interests:
Divergence Estimation Methods
Model Selection
Robust Statistics
Publications
Journal Articles
Ferrari, D., & Yang Y.
(2015). Confidence sets for model selection by F -testing.
Statistica Sinica. doi: 10.5705/ss.2014.110
Creed, S. J., Le C. P., Hassan M., Pon C. K., Albold S., Chan K. T., et al.
(2015). β2-adrenoceptor signaling regulates invadopodia formation to enhance tumor cell invasion.
Breast Cancer Research. 17(1), doi: 10.1186/s13058-015-0655-3
![](https://acems.org.au/sites/default/files/styles/profile/public/images/profiles/uom_ai_davide-ferrari.jpg?itok=0LS2XhgW)
![](https://acems.org.au/sites/default/files/styles/profile/public/images/profiles/uom_ai_davide-ferrari.jpg?itok=0LS2XhgW)