Lundell JF. Tuning support vector machines and boosted trees using optimization algorithms. ArXiv:2303.07400. March 2023. https://doi.org/10.48550/arxiv.2303.07400. Link to paper

Lundell JF, Bean B, and Symanzik J. Let’s talk about the weather: a cluster-based approach to weather forecast accuracy. Accepted by Computational Statistics February 2023. ArXiv.2303.05484. https://doi.org/10.48550/arXiv.2303.05484. Link to paper

Lundell JF. EZtune: A Package for Automated Hyperparameter Tuning in R. ArXiv:2303.12177. March 2023. https://doi.org/10.48550/arXiv.2303.12177. Link to paper. Under review.

Haney T, Lundell JF. Historical data analysis supporting the data quality objectives for the INL site environmental soil monitoring program. INL/INT-15-37431 Revision No. 0. February 2021. https://doi.org/10.2172/1769951. Link to report

Lundell JF. Am-241, Pu-238, Pu-239/240, and Sr-90 decision levels for the environmental air monitoring program for the Idaho National Laboratory. https://doi.org/10.2172/1875115. Link to report

Lundell JF. Tuning hyperparameters in supervised learning models and applications of statistical learning in genome-wide association studies with emphasis on heritability. Unpublished Doctoral dissertation. Utah State University. August 2019. https://doi.org/10.26076/a37e-facb. Link to dissertation

Lundell JF, Bean B, Symanzik J. Let’s talk about the weather. JSM Proceedings, Statistical Computing Section. Alexandria, VA: American Statistical Association. 2018. Link to paper

Lundell JF. 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. 2017. Link to paper

Lundell JF, Magnuson SO, Scherbinske P, Case MJ. Data quality objectives supporting the environmental direct radiation monitoring program for the Idaho National Laboratory. INL/EXT-15-34803. June 2015. https://doi.org/10.2172/1194017. Link to report

Lundell JF. On the model selection in a frailty setting, Unpublished Master’s Thesis. Utah State University Department of Mathematics and Statistics. August 1998. https://doi.org/10.26076/c6cf-ceeb. Link to thesis