Guoqi Qian

Associate Professor Guoqi Qian serves in the School of Mathematics and Statistics, Faculty of Science, at the University of Melbourne. He earned his PhD from Dalhousie University and a Graduate Certificate from the University of Melbourne. In 2017, he was promoted to Associate Professor, recognizing his contributions to the field. Qian is a statistician and applied mathematician whose research expertise encompasses statistics theory, biostatistics, bioinformatics, computational statistics, model selection, distributed statistical computing, and high-dimensional data analysis. His work addresses statistical modelling in diverse applications, including wildlife population studies via capture-recapture data, precipitation mapping using multi-satellite remote sensing and gauge networks, landslide early warning through ground motion modeling, and prediction models for stock prices and COVID-19 outbreaks. As a supervisor for postgraduate students, he guides research in these areas. Qian is affiliated with the Institute of Mathematical Statistics and participates in academic events, such as a 2024 panel on how mathematicians contribute to planetary challenges.

Qian has authored over 80 publications, accumulating approximately 895 citations. His most cited paper, 'Selection of working correlation structure and best model in GEE analyses of longitudinal data' (2007, Communications in Statistics—Simulation and Computation), has 206 citations. Other key works include 'Stock price prediction using a frequency decomposition based GRU transformer neural network' (2022, Applied Sciences, 85 citations), 'Principal components selection by the criterion of the minimum mean difference of complexity' (1994, Journal of Multivariate Analysis, 52 citations), 'Some notes on Rissanen's stochastic complexity' (1998, IEEE Transactions on Information Theory, 39 citations), 'Bayesian grouped horseshoe regression with application to additive models' (2016, Australasian Joint Conference on Artificial Intelligence, 38 citations), 'Law of iterated logarithm and consistent model selection criterion in logistic regression' (2002, Statistics & Probability Letters, 32 citations), and 'Mapping Australia’s precipitation: harnessing the synergies of multi-satellite remote sensing and gauge network data' (2022). These publications demonstrate his influence across statistical methodology, environmental science, finance, machine learning, and epidemiology. Qian's research projects include statistical inference for model comparison in capture-recapture data for wildlife populations.

Professional Email: qguoqi@unimelb.edu.au