Cite
Minimum message length inference of the Poisson and geometric models using heavy-tailed prior distributions.
MLA
Wong, Chi Kuen, et al. “Minimum Message Length Inference of the Poisson and Geometric Models Using Heavy-Tailed Prior Distributions.” Journal of Mathematical Psychology, vol. 83, Apr. 2018, pp. 1–11. EBSCOhost, https://doi.org/10.1016/j.jmp.2018.01.001.
APA
Wong, C. K., Makalic, E., & Schmidt, D. F. (2018). Minimum message length inference of the Poisson and geometric models using heavy-tailed prior distributions. Journal of Mathematical Psychology, 83, 1–11. https://doi.org/10.1016/j.jmp.2018.01.001
Chicago
Wong, Chi Kuen, Enes Makalic, and Daniel F. Schmidt. 2018. “Minimum Message Length Inference of the Poisson and Geometric Models Using Heavy-Tailed Prior Distributions.” Journal of Mathematical Psychology 83 (April): 1–11. doi:10.1016/j.jmp.2018.01.001.