A trio of researchers supported by ACEMS wins the award for best paper at the 2019 Conference for the Australian Mathematical Society (AustMS).
The trio have been praised for their fast kernel density estimator, which achieves excellent accuracy thanks to an ingenious bandwidth selection algorithm.
Speaking on behalf of the group, Dr. Zdravko Botev said the award is a humbling honour that recognizes four years of tireless search during his PhD candidature while at UQ.
The diffusion kernel estimator has gained enough popularity to be included in standard undergraduate textbooks such as the just released “Data Science and Machine Learning: Mathematical and Statistical Foundations” written by Professor Kroese and his colleagues.