Aurore Delaigle is a researcher affiliated with the University of Melbourne in Australia. Their work primarily spans the field of Computer Science, with a strong focus on Statistics and Probability as well as Artificial Intelligence, Infectious Diseases, Epidemiology, and Environmental Engineering.
The main topics covered in their research include Statistical Methods and Inference, Bayesian Methods and Mixture Models, SARS-CoV-2 detection and testing, Soil Geostatistics and Mapping, Nutritional Studies and Diet, Fatty Acid Research and Health, and Data-Driven Disease Surveillance.
Aurore Delaigle has published papers in multiple respected journals. Some recent papers include:
Their frequent publication venues include the Journal of the Royal Statistical Society Series B (Statistical Methodology), Journal of the American Statistical Association, Statistica Sinica, Statistics in Medicine, and Oberwolfach Reports.
Their regular collaborators include Steffen L. Lauritzen, Félix Camirand Lemyre, Ruoxu Tan, Alexander Meister, and S. Wood.
Aurore Delaigle has been recognized with awards such as Fellow of the American Statistical Association in 2018 and Fellow of the Australian Academy of Science in 2020.
Aurore Delaigle;Irène Gijbels
Aurore Delaigle;Peter Hall;Alexander Meister
Aurore Delaigle;Peter Hall
Aurore Delaigle;Peter Hall
A Delaigle;Irène Gijbels
Aurore Delaigle;Peter Hall
Aurore Delaigle;Jianqing Fan;Raymond J. Carroll
Aurore Delaigle;Irène Gijbels
Aurore Delaigle;Alexander Meister
A. Delaigle;P. Hall;N. Bathia
Aurore Delaigle;Peter Hall
Aurore Delaigle;Peter Hall
Aurore Delaigle;Peter Hall;Jiashun Jin
Aurore Delaigle;Alexander Meister
Raymond J. Carroll;Aurore Delaigle;Peter Hall
Raymond J. Carroll;Aurore Delaigle;Peter Hall
A Delaigle;Irène Gijbels
Aurore Delaigle
Aurore Delaigle;Peter Hall;Wen-Xin Zhou
Aurore Delaigle;Peter Hall
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