Aurore Delaigle is a Professor and ARC Future Fellow at The University of Melbourne. Before moving to Melbourne in 2007, she held positions at the University of of California at Davis and at San Diego, and at the University of Bristol.
Aurore's main research interests include nonparametric estimation, measurement errors, deconvolution problems and functional data analysis. She is particularly interested in developing new methods for indirectly and imperfectly observed data, especially if they have some seemingly unappealing form (e.g. incomplete, irregular, non stationary, too big to handle with usual methods).
In 2013, Aurore was elected a Fellow of the Institute of Mathematical Statistics (IMS) and was awarded the Moran Medal from the Australian Academy of Science. She is an associate editor for some of the most prestigious international statistics journals. She is the Executive Secretary of the IMS. In 2017, she is an Associate Program Chair of the Joint Statistical Meetings, the largest international meetings in statistics.
Researchers at the ARC Centre of Excellence in Mathematical and Statistical Frontiers (ACEMS) are developing techniques to 'fill in' and use data that hasn't been recorded, to address a range of challenges such as modelling growth patterns of children to the automated interpretation of speech.
Delaigle, A., & Hall P.
(2016). Methodology for non-parametric deconvolution when the error distribution is unknown. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 78(1), 231-252. doi: 10.1111/rssb.12109
Delaigle, A., Hall P., & Jamshidi F.
(2015). Confidence bands in non-parametric errors-in-variables regression. Journal of the Royal Statistical Society: Series B (Statistical Methodology). 77(1), 149-169. doi: 10.1111/rssb.12067