Dr Han Liang Gan

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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. L., & Kolaczyk, E. D. (2018). Approximation of the difference of two Poisson-like counts by Skellam. Journal of Applied Probability, 55(2), 416-430. doi:10.1017/jpr.2018.27

  • Gan, H. L., Röllin, A., & Ross, N. (2017). Dirichlet approximation of equilibrium distributions in Cannings models with mutation. Advances in Applied Probability, 49(3), 927-959. doi:10.1017/apr.2017.27

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Mathematics; Statistics