Associate Professor Stephen Joe
Associate Professor (Mathematics)
Qualifications: BSc(Hons) MSc Massey PhD NSW
Born and bred in Palmerston North, it was natural that Stephen should attend the university there. At Massey University he did a BSc(Hons) degree in statistics followed by a MSc in mathematics. While a student at Massey he developed an interest in numerical analysis. This interest led him to obtain a Commonwealth Scholarship which enabled him to do a PhD at the University of New South Wales (UNSW) in Sydney. His PhD research topic was on the numerical solution of integral equations (these are equations in which the unknown function occurs as part of an integral).
After completing his Ph.D., he worked at UNSW for five years (as a lecturer and as a postdoctoral research fellow) before taking up a lectureship at the University of Waikato in 1992. He was promoted to Senior Lecturer in 1995 and to Associate Professor in 2005. He was Associate Dean in the School of Computing and Mathematical Sciences from mid-2003 to the end of 2004. He was the Chairperson of the Department of Mathematics from 2005 to 2007. He was then the Acting Dean in the School of Computing and Mathematical Sciences from 1 February to 30 September 2008. He is currently the Deputy Dean in the Faculty of Computing and Mathematical Sciences.
In 2011, he was a recipient of an award for Administrative Excellence and also received the 2011 Vice-Chancellor's Medal for Staff Excellence.
His interest in numerical analysis continues to this day. His current research is on lattice methods for the numerical evaluation of integrals in many variables.
Lattice methods for multiple integration; numerical multiple integration.
Ejaz, M., Joe, S., & Joshi, C. (2021). Adversarial risk analysis for auctions using mirror equilibrium and Bayes Nash equilibrium. Decision Analysis, 0(0). doi:10.1287/deca.2021.0425
Ejaz, M., Joshi, C., & Joe, S. (2021). Adversarial risk analysis for first-price sealed-bid auctions.. Australian and New Zealand Journal of Statistics, Early View. doi:10.1111/anzs.12315
Brown, P. T., Joshi, C., Joe, S., & Rue, H. (2020). A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations. Computational Statistics & Data Analysis, 107147. doi:10.1016/j.csda.2020.107147
Brown, P., Joshi, C., Joe, S., & Rue, H. (2019). Modified LDS-based methods of marginalisation for integrated nested laplace approximations. In Bayes on the Beach 2019. Gold Coast, Australia.
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