Research Publications for Stephen Joe

Welcome to the University of Waikato research publications search page. This database includes all research publications produced by the University from 1998.

See Also: Research Links | Student Research Theses | Research Commons

Author's Publications

Publications ByJOE, Stephen

  Use our Online Phonebook to contact our current staff members.

  • 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. (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.

  • Joe, S. (2016). The Hermite normal form for certain rank-1 circulant and skew-circulant lattice rules. Linear Algebra and its Applications, 496, 438-451. doi:10.1016/j.laa.2016.02.009

  • 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). Low Discrepancy Sequences for faster Bayesian Inference. In University College Dublin (UCD), Dublin, Ireland..

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

  • Joshi, C., Brown, P. T., & Joe, S. (2014). Integrated Nested Laplace Approximation (INLA) using low discrepancy sequences. In International Society for Bayesian Analysis World Meeting 2014 Scientific Programme (pp. 155-156). Cancun, Mexico.

  • Joe, S. (2012). An Intermediate Bound on the Star Discrepancy. In L. Plaskota, & H. Woźniakowski (Eds.), Monte Carlo and Quasi-Monte Carlo Methods 2010; Proc Nineth International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (pp. 451-469). Warsaw, Poland: Springer Berlin Heidelberg. doi:10.1007/978-3-642-27440-4_25

  • Lyness, J. N., & Joe, S. (2008). Determination of the rank of an integration lattice. BIT Numerical Mathematics, 48, 79-93. doi:10.1007/s10543-008-0161-4

  • Sinescu, V., & Joe, S. (2008). Good lattice rules with a composite number of points based on the product weighted star discrepancy. In A. Keller, S. Heinrich, & H. Niederreiter (Eds.), Seventh International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, Germany; 14-18 August 2006 (pp. 645-658). Conference held at 'Monte Carlo and Quasi-Monte Carlo Methods 2006': Springer. doi:10.1007/978-3-540-74496-2_39

This page has been reformatted for printing.