Peer-reviewed Papers


  • Ryan Martin, Shih-Ni Prim, and Jonathan P. Williams. Decision-making with possibilistic inferential models. International Journal of Approximate Reasoning, page 109720.
    Link: Article link.
    Link: Preprint in arXiv

  • Shih-Ni Prim, Yawen Guan, Shu Yang, Ana G Rappold, K. Lloyd Hill, Wei-Lun Tsai, Corinna Keeler, and Brian J Reich. A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes. arXiv: 2506.09325. To appear in the Journal of the American Statistical Association.
    Link: Article link.
    Link: Preprint in arXiv.
    Code: Github repository.

  • Helis CA, Prim S, Cramer CK, Strowd R, Lesser GJ, White JJ, Tatter SB, Laxton AW, Whitlow C, Lo H, Debinski W, Ververs JD, Black PJ, Chan MD. (2022) Clinical outcomes of dose-escalated re-irradiation in patients with recurrent high-grade glioma. Neuro-Oncology Practice, 9(5): 390-401.
    Link: Paper

  • Working Papers


  • Ryan Martin, Shih-Ni Prim, Jonathan Williams. Induction and the rule of succession through a possibilistic inferential model lens. arXiv: 2608.11935. (In review)
    Link: Preprint in arXiv.

  • Shih-Ni Prim, Kevin R. Quinlan, Paul Hawkins, Jagadeesh Movva, and Annie Booth. Actively Learning Joint Contours of Multiple Computer Experiments. arXiv: 2512.13530. (Under revision at Technometrics)
    Link: Preprint in arXiv.
    Code: Bitbucket repository.

  • Edward J. Phlips, Susan Badylak, Lori Morris, Lauren M. Hall, Shih-Ni Prim, Ben Stelling, Stacy L. Cecil, Natalie Nelson, and Luciana M. Banquero. Extreme conditions and ecosystem disruptions of the relationships between phytoplankton, seagrass and macroalgal communities in the Indian River Lagoon, 1997-2024. (In review)

  • Online Resources


  • Natalie G. Nelson, Shih-Ni Prim, Sheila Saia, Khara Grieger, Anders Huseth (authors vary by chapter). 2025. A Machine Learning Primer for Natural Resources Management, Accessed online via go.ncsu.edu/mlprimer.
    Link: ML Primer.

  • Textbook chapters


  • Chan MD, Prim S, Cramer C, Ruiz J. (2023) Nonrandomized trials in clinical oncology. In Handbook for Designing and Conducting Clinical and Translational Research: Translational Radiation Oncology, edited by Adam E. M. Eltorai, Jeffrey A. Bakal, Daniel W. Kim, David E. Wazer, 313–284. Academic Press.
    Link: Online reference