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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