Dr Paul Brown
Qualifications: BSc (Hons), PhD Waikato
Waikato; Ngāti Hikairo
Phone: Ext: 5279
Computational Bayesian methods, integrated nested Laplace approximations (INLA), spatio-temporal modelling.
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..
Joshi, C., Brown, P. T., & Joe, S. (2016). Using low discrepancy sequences in Grid based Bayesian methods. In 12th International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing. Stanford University, California,United States.
Brown, P. T., Joshi, C., Joe, S., & McCarter, N. (2016). Spatio-temporal modelling of crime using low discrepancy sequences. In 31st International Workshop on Statistical Modelling (IWSM'16). Rennes, France. Open Access version: https://hdl.handle.net/10289/10770
Joshi, C., Brown, P., & Joe. (2015). Fast Bayesian Inference using low discrepancy sequences. In Bayes On the Beach Workshop 2015. Conference held at Surfers Paradise, Gold Coast.
Find more research publications by Paul Brown