Dr Paul Brown

Research Fellow (Data Analytics)
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. T., & Joe, S. (2021). On approximating the shape of one-dimensional posterior marginals using the low discrepancy points. Communications in Statistics - Theory and Methods, 1-19. doi:10.1080/03610926.2021.2012577
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, 157, 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
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Keywords
Mathematics; Statistics