Research Publications for Paul T Brown

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Publications ByBROWN, Paul T

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  • 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.

  • 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.

  • Joshi, C., Brown, P. T., & Joe, S. (2015). Low Discrepancy Sequences for faster Bayesian Inference. In University College Dublin (UCD), Dublin, Ireland..

  • 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.

  • Joshi, C., Brown, P. T., & Joe, S. (2015). Fast Bayesian inference using low discrepancy sequences. In 9th Workshop on Bayesian Inference in Stochastic Processes.


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