Dr Paul Brown
Research Fellow (Data Analytics)
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
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. (2019). Computational Bayesian inference using low discrepancy sequences. (PhD Thesis, University of Waikato). Retrieved from https://hdl.handle.net/10289/12316
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.
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