Michael Bertolacci
Research Fellow
Centre for Environmental Informatics, NIASRA
School of Mathematics and Applied Statistics
University of Wollongong, Australia
| Telephone | 02 4239 2388 |
| michael_bertolacci {at} uow.edu.au | |
| Website | https://mbertolacci.github.io/ |
| UOW Scholars | https://scholars.uow.edu.au/display/michael_bertolacci |
Research Interests
I am interested in large scale spatio-temporal problems in environmental statistics. My previous research involved developing hierarchical Bayesian mixture models for the analysis of Australian daily rainfall at the continental scale. I also investigated methods for modelling multiple nonstationary time series in the spectral domain, as applied to spatial datasets including monthly rainfall and measles epidemiology.
My current research focuses on spatio-temporal flux inversion for trace gases using remotely sensed data.
Publications
2019 | Bertolacci, M., Cripps, E., Rosen, O., Lau, J. W., S. Cripps. (2019). Climate inference on daily rainfall across the Australian continent, 1876–2015. Annals of Applied Statistics, 13(2), pp 683–712. doi: 10.1214/18-AOAS1218. |
2016 | Bertolacci, M., Cripps, E., Cripps, S., Lau, J. W. (2016). Bayesian mixture models for multivariate time series with an application to Australian rainfall data. Neural Information Processing Systems Time Series Workshop. Presented a poster at this workshop. |
2007 | Wirth, A., Bertolacci, M. (2007). Are approximation algorithms for consensus clustering worthwhile? SIAM International Conference on Data Mining. |
2006 | Wirth, A., Bertolacci, M. (2006). New algorithms research for first year students, 11th Annual ACM Conference on Innovation and Technology in Computer Science Education (ITICSE ’06), pp 128–32. |