Rate My Professor Aihua Xia

Professor Xia's research interests encompass point processes, limit theory of random processes, applied probability and Stein's method, Markov processes, queueing networks, and image processing. She is a member of the Stochastic Processes research group, focusing on limit theory in stochastic processes, Markov processes, point processes, and Poisson approximations. Notable publications include “The saturated pairwise interaction Gibbs point process as a joint species distribution model” with Flint et al. in the Journal of the Royal Statistical Society: Series C (2022), “Palm theory, random measures and Stein couplings” with Chen and Röllin in the Annals of Applied Probability (2021), “Difference in distribution functions: a new diffusion weighted imaging metric for estimating white matter integrity” with Du et al. in NeuroImage (2021), “Geometric sums, size biasing and zero biasing” with Liu in Electronic Communications in Probability (2022), and “When is the Conway-Maxwell-Poisson distribution infinitely divisible?” with Geng in Statistics & Probability Letters (2022). Professor Xia has been awarded the Moran Medal by the Australian Academy of Science in 2001, elected as a member of the International Statistical Institute in 2010, and named a Fellow of the Institute of Mathematical Statistics in 2018 for innovative and impactful contributions to stochastic approximations via new couplings. She has secured multiple ARC Discovery Project grants spanning 2012 to 2024.