Publications

  • Latent Deformation Models for Multivariate Functional Data and Time Warping Separability.
    C. Carroll and H.-G. Müller. Biometrics (2023). (pdf).

  • Comparison of Diagnostic Predictors of Neonatal Survivability in Non-Domestic Caprinae.
    T. N. Bliss, M. J. Marinkovich, R. E. Burns, C. Carroll, M. M. Clancy, L. L. Howard. Journal of Zoo and Wildlife Medicine (2022). (pdf).

  • Learning delay dynamics for multivariate stochastic processes, with application to the prediction of the growth rate of COVID-19 cases in the United States.
    Dubey, P., Chen, Y., Gajardo, Á ., Bhattacharjee, S., Carroll, C., Zhou, Y., and Müller, H. G. Journal of Mathematical Analysis and Applications, 514(2), 125677, (2022). (pdf).

  • Cross-component Registration for Multivariate Functional Data, with Application to Growth Curves.
    C. Carroll, H.-G. Müller, A. Kneip. Biometrics (2021).
    (pdf).

  • A Practical Method to Quantify Knowledge-Based Dose Volume Histogram Prediction Accuracy and Uncertainty with Reference Cohorts.
    B. Covele, C. Carroll, K. Moore. Journal of Applied Clinical Medical Physics (2021).
    (pdf).

  • Time dynamics of COVID-19.
    Carroll, C., Bhattacharjee, S., Chen, Y., Dubey, P., Fan, J., Gajardo, Á ., Zhou, X., Müller, H. G., and Wang, J-L. Nature- Scientific Reports, 10(1), 21040, (2020). (pdf).

  • Mountaineers on Mount Everest: effects of age, sex, experience, and crowding on rates of success and death.
    R. B. Huey, C. Carroll, R. Salisbury, J.-L. Wang. PLoS One (2020).
    (pdf).

Whitepapers

  • X. Wang, W.-C. Liao, K. Klausmeyer, N. Rindlaub, C. Carroll. An Automated Workflow for Satellite-based Monitoring of Field Flooding. The Nature Conservancy, (2023). (pdf) (Github page.)

Software

  • fdapace: Functional Data Analysis and Empirical Dynamics- 2019 – present (R package)
    Contributing author and former maintainer

  • BirdSense Bid for Birds Dashboard
    (Interactive Dashboard.)

Media

The USF Data Science Podcast with Robert Clements

Medium articles with students

Insights into Human-Bear Interactions in California via Social Media
(Github page)

Decoding Black Bear Encounters on Social Media: Advanced NLP in Action with POS-tagging and DBSCAN Clustering.