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Dr Paul Brown

Qualifications: BSc (Hons), PhD Waikato

Waikato; Ngāti Hikairo

Contact Details

Email: paul.brown@waikato.ac.nz
Room: G.3.30
Phone: Ext: 5279

Research Interests

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

Teaching Commitments

Recent Publications

  • 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.

  • Brown, P. (2019). Computational Bayesian inference using low discrepancy sequences. (PhD Thesis, University of Waikato). Retrieved from https://hdl.handle.net/10289/12316

  • 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..

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