• Lundell JF. (2019). Tuning hyperparameters in supervised learning models and applications of statistical learning in genome-wide association studies with emphasis on heritability. Doctoral dissertation retrieved from Utah State University Digital Commons. link to dissertation download
  • Lundell JF, Bean B, Symanzik J. (2018). Let’s talk about the weather. JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. link to paper
  • Lundell JF. (2017) There has to be an easier way: a simple alternative for parameter tuning of supervised learning methods. JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. link to paper
  • Lundell JF, Magnuson SO, Scherbinske P, Case MJ. (2015). Data quality objectives supporting the environmental direct radiation monitoring program for the Idaho National Laboratory. INL/EXT-15-34803.
  • Lundell JF. (1998). On the model selection in a frailty setting, Unpublished Master’s Thesis. Utah State University Department of Mathematics and Statistics. link to thesis download