Breadcrumbs

Dr Paul Brown

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

Find more research publications by Paul Brown

Keywords

Mathematics; Statistics