Courses I Teach

Past, present, and future lecturing at the University of Auckland:

2024S2: STATS 331: Introduction to Bayesian Statistics
2024S2: STATS 731: Bayesian Inference
2024S1: STATS 310/732: Introduction to Statistical Inference
2023S2: STATS 731: Bayesian Inference
2022S2: STATS 731: Bayesian Inference
2022S1: STATS 762: Regression for Data Science
2022S1: STATS 782: Statistical Computing
2021S1: STATS 782: Statistical Computing
2020S1: STATS 731: Bayesian Inference
2020S1: STATS 220: Data Technologies
2019S2: STATS 331: Introduction to Bayesian Statistics
2019S1: STATS 731: Bayesian Inference
2019S1: STATS 220: Data Technologies
2018S1: STATS 220: Data Technologies
2017S2: STATS 331: Introduction to Bayesian Statistics
2017S1: STATS 320: Applied Stochastic Modelling
2017S1: STATS 220: Data Technologies
2016S2: STATS 331: Introduction to Bayesian Statistics
2016S1: STATS 220: Data Technologies
2015S1: STATS 220: Data Technologies
2014S2: STATS 331: Introduction to Bayesian Statistics
2014S1: STATS 255: Introduction to Operations Research
2013S2: STATS 331: Introduction to Bayesian Statistics
2013S1: STATS 255: Introduction to Operations Research
2012S2: STATS 331: Introduction to Bayesian Statistics

Research Students

If you're interested in working with me on a research project, or just want some reading ideas, check out this resources page.

1 = as primary or sole supervisor
2 = 50% share, or thereabouts
3 = minor share

Current students:

  • Rosa Guo1, MSc, 2024
  • Cher Li1, PhD, 2022–

Past students: