Dr Han Liang Gan
Lecturer (Data Analytics)
Qualifications: PhD UniMelb
Papers Taught
Research Interests
My main field of research is in applied probability theory, particularly in distributional approxmations using Stein's method. Applications of my work can be found in a variety of fields such as population genetics, random graph theory, computational biology and queueing systems to name a few.
Recent Publications
Gan, H. (2021). Stationary distribution approximations for two-island and seed bank models. In Asia-Pacific Seminar in Probability and Statistics. Retrieved from https://drive.google.com/file/d/1IRoq9DJltvXhZWytY9tivTuTe9kSmWvs/view
Gan, H. L., & Ross, N. (2021). Stein's method for the Poisson-Dirichlet distribution and the Ewens Sampling Formula, with applications to Wright-Fisher models. The Annals of Applied Probability, 31(2), 625-667. doi:10.1214/20-AAP1600
Fang, X., Gan, H. L., Holmes, S., Huang, H., Peköz, E., Röllin, A., & Tang, W. (2020). Arcsine laws for random walks generated from random permutations with applications to genomics. arXiv. Retrieved from http://arxiv.org/abs/2001.08857v1
Gan, H. (2019). Stein's method and duality of Markov processes. arXiv. Retrieved from https://arxiv.org/abs/1906.00878
Find more research publications by Han Liang Gan
Keywords
Mathematics; Statistics
Probability