Research Publications for Stephen Joe

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Author's Publications

Publications ByJOE, Stephen

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  • Ejaz, M., Joshi, C., & Joe, S. (2022). Adversarial risk analysis for auctions using non-strategic play and level-k thinking: A general case of n bidders with regret. Communications in Statistics - Theory and Methods, 1-19. doi:10.1080/03610926.2022.2042023

  • Brown, P. T., Joshi, C., Searle, D., & Joe, S. (2022). Spatial anisotropic modelling of the repeat/near repeat victimisation phenomenon. In N. Torelli, R. Bellio, & V. Muggeo (Eds.), Proceedings of the 36th International Workshop on Statistical Modelling (pp. 107-112). Trieste, Italy.

  • Ejaz, M., Joshi, C., & Joe, S. (2021). Adversarial risk analysis for first-price sealed-bid auctions. Australian and New Zealand Journal of Statistics, 63(2), 357-376. doi:10.1111/anzs.12315

  • 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

  • Ejaz, M., Joe, S., & Joshi, C. (2021). Adversarial risk analysis for auctions using mirror equilibrium and Bayes Nash equilibrium. Decision Analysis, 18(3), 185-202. doi:10.1287/deca.2021.0425

  • 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.

  • 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..

  • 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

  • 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.


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