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Dr Han Liang Gan

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