Review Articles

Discussion on Prior-based Bayesian Information Criterion (PBIC) by M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser

Ruobin Gong ,

Department of Statistics, Rutgers, The State University of New Jersey, 501 Hill Center, Busch Campus, 110 Frelinghuysen Rd, Piscataway, NJ 08854

Minge Xie

Department of Statistics, Rutgers, The State University of New Jersey, 501 Hill Center, Busch Campus, 110 Frelinghuysen Rd, Piscataway, NJ 08854

Pages 35-36 | Received 18 Apr. 2019, Accepted 22 Apr. 2019, Published online: 07 May. 2019,
  • Abstract
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References

  • Ferrari, D., & Yang, Y. (2015). Confidence sets for model selection by f-testing. Statistica Sinica, 25, 16371658[Web of Science ®][Google Scholar]
  • Zheng, C., Ferrari, D., & Yang, Y. (2017). Model selection confidence sets by likelihood ratio testing. Preprint arXiv:1709.04342. [Google Scholar]

To cite this article: Ruobin Gong & Minge Xie (2019) Discussion on Prior-based Bayesian Information Criterion (PBIC) by M. J. Bayarri, James O. Berger, Woncheol Jang, Surajit Ray, Luis R. Pericchi, and Ingmar Visser, Statistical Theory and Related Fields, 3:1, 35-36, DOI: 10.1080/24754269.2019.1611146 To link to this article: https://doi.org/10.1080/24754269.2019.1611146