Dr Paul Brown

Paul Brown

Qualifications: BSc (Hons), PhD Waikato

Iwi: Waikato, Ngāti Hikairo

Papers Taught

Research Interests

Computational Bayesian methods, integrated nested Laplace approximations (INLA), spatio-temporal modelling.

Recent Publications

  • Joshi, C., Brown, P., & Joe, S. (2017). Bayesian continuous space-time model of burglaries. In 2017 IASC-ARS/NZSA Conference. Conference held at University of Auckland, Auckland, New Zealand..

  • Brown, P. T., Joshi, C., Joe, S., & McCarter, N. (2016). Spatio-temporal modelling of crime using low discrepancy sequences. In 31st International Workshop on Statistical Modelling (IWSM'16). Rennes, France. Open Access version:

  • Joshi, C., Brown, P. T., & Joe, S. (2016). Using low discrepancy sequences in Grid based Bayesian methods. In 12th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing. Stanford University, California,United States.

  • Joshi, C., Brown, P. T., & Joe, S. (2015). Low Discrepancy Sequences for faster Bayesian Inference. In University College Dublin (UCD), Dublin, Ireland..

Find more research publications by Paul Brown


Mathematics; Statistics

Contact Details

Name  Extn.  Username  Room  Department
Brown, Mr Paul 5279 brownp G.3.30 Department of Mathematics and Statistics

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