Publications

In progress:

S. Glenn, J. Strait, K. Moran, Estimating and predicting the geometry of topological features across time. (preparing to submit)

Peer reviewed/submitted  publications:

S. Glenn, J. Strait, K. Moran, C. Danely, M.P. Selwood, Bootstrap base hypothesis test of 2D contours using elastic shape analysis. https://arxiv.org/abs/2606.04879 (Submitted)

S. Glenn, J. Cisewski-Kehe, J. Zhu, W. Bement, Tracking temporal evolution of topological features in image data. https://arxiv.org/abs/2606.04879 (Submitted)

R. Edmunds, S. Glenn,H. Lee, S. Villar, Empirical power analysis of a statistical test to quantify gerrymandering. https://arxiv.org/abs/2501.05761 (Submitted)

S. Glenn, J. Cisewski-Kehe, J. Zhu, W. Bement, Confidence regions for a persistence diagram of a single image with one or more loops (2024). https://arxiv.org/abs/2405.01651 (Accepted Foundations of Data Science)[code to come]

E.S. King, A. Noll, S. Glenn, et al. Refrigerated and frozen storage impact aronia berry quality. Food Prod Process and Nutr 4, 3 (2022). https://doi.org/10.1186/s43014-021-00080-y

Other publications:

Inference on a Time Series of Images Using Topological Data Analysis (2024). [Dissertation] https://asset.library.wisc.edu/1711.dl/6ACF2CGHOLIMM9A/R/file-ac0ba.pdf

G. Hong, K. Campbell, S. Glenn, B. Lucenko, B. Felver,  Predicting the Risks of Psychosis Using Administrative Data (2019): Report to Washington State Health Care Authority which describes key risk indicators associated with first episode psychosis in young adults. www.dshs.wa.gov/ffa/rda/research-reports/first-episode-psychosis-predicting-risks-psychosis-using-administrative-data