Publications

Tucker, J.D., Heiskala, A., Choudhary, P., Nedelec, R., Ronkainen, J., Sarala, O., Jarvelin, M.R., Sillanpaa, M.J., Sebert, S., & Sebert, S. (2025). Timing based clustering of childhood BMI trajectories reveals differential maturational patterns; Study in the Northern Finland Birth Cohorts 1966 and 1986: Pediatrics. International Journal of Obesity, 49(5), pp. 872-880. 10.1038/s41366-025-01714-8

Tucker, J.D. (2024). Elastic Functional Changepoint Detection with Application to Climate Engineering [Conference Presentation]. 10.2172/2585127

Tucker, J.D., Yarger, D., & Yarger, D. (2024). Elastic functional changepoint detection of climate impacts from localized sources. Environmetrics, 35(1). 10.1002/env.2826

Brown, J.L., Davis, J., Tucker, J.D., Huerta, J.G., Shuler, K., & Shuler, K. (2023). Quantifying uncertainty in analysis of shockless dynamic compression experiments on platinum. II. Bayesian model calibration. Journal of Applied Physics, 134(23). 10.1063/5.0173652

Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional data [Conference Presentation]. 10.2172/2430531

Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional time series [Conference Poster]. 10.2172/2430747

Tucker, J.D., Yarger, D., & Yarger, D. (2023). Elastic Functional Changepoint Detection with Application to MERRA-2 [Conference Presentation]. 10.2172/2431029

Shuler, K., Brown, J.L., Francom, D., Tucker, J.D., Huerta, J.G., Ries, D., & Ries, D. (2023). Bayesian Model Calibration for Functional Data Using Elastic Alignment [Conference Presentation]. 10.2172/2431056

Tucker, J.D., Upston, J., Sulsky, D., Guan, Y., & Guan, Y. (2023). CIEL*Ch color map for visualization and analysis of sea ice motion. Journal of Computational and Applied Mathematics, 429(1). https://doi.org/10.1016/j.cam.2023.115126

Champon, X., Angeles, D., Buchheit, T.E., Canfield, D.P., Tucker, J.D., Adams, J.R., & Adams, J.R. (2023). A Statistical Assessment of Zener Diode Behavior Using Functional Data Analysis [Conference Poster]. 10.2172/2431957

Yarger, D., Tucker, J.D., Shand, L., & Shand, L. (2023). Detecting changepoints in globally-indexed functional time series [Conference Poster]. 10.2172/2431915

Champon, X., Tucker, J.D., & Tucker, J.D. (2023). Elastic Partial Functional PrincipalComponent Regression with UnmatchedBoundaries [Conference Poster]. 10.2172/2431921

Champon, X., Angeles, D., Buchheit, T.E., Canfield, D.P., Tucker, J.D., Adams, J.R., & Adams, J.R. (2023). A Statistical Assessment of Zener Diode Behavior Using Functional Data Analysis [Conference Paper]. 7th IEEE Electron Devices Technology and Manufacturing Conference: Strengthen the Global Semiconductor Research Collaboration After the Covid-19 Pandemic, EDTM 2023. 10.1109/EDTM55494.2023.10103056

Pattyn, C.A., Edstrom, A., Sanchez, A.L., Westlake, K., Vanderlaan, J.D., Tucker, J.D., Jones, J.L., Hagopian, K., Shank, J., Casias, L.K., Wright, J.B., & Wright, J.B. (2023). Event-based sensing for the detection of modulated signals in degraded visual environments [Conference Paper]. Proceedings of SPIE - The International Society for Optical Engineering. 10.1117/12.2663385

Pattyn, C.A., Edstrom, A., Sanchez, A.L., Westlake, K., Vanderlaan, J.D., Tucker, J.D., Jones, J.L., Hagopian, K., Shank, J., Casias, L.K., Wright, J.B., & Wright, J.B. (2023). Event-based sensing for the detection of modulated signals in degraded visual environments [Conference Presentation]. Proceedings of SPIE the International Society for Optical Engineering. 10.2172/2431375

Tucker, J.D., Martinez, M.T., Laborde, J.M., & Laborde, J.M. (2023). Dimensionality reduction using elastic measures. Stat, 12(1). 10.1002/sta4.551

McCombs, A.L., Goode, K., Shuler, K., Tucker, J.D., Zhang, A., Ries, D., & Ries, D. (2022). Inverse prediction using functional data in a Bayesian framework [Conference Presentation]. 10.2172/2432261

Lehoucq, R., Mayer, C.D., Tucker, J.D., & Tucker, J.D. (2022). Entropy and its Relationship with Statistics. 10.2172/1895025

Zhang, A., McCombs, A.L., Ausdemore, M., Ries, D., Tucker, J.D., Huerta, J.G., Goode, K., Shuler, K., & Shuler, K. (2022). A Functional Statistical Modeling Approach to Using Plutonium Particle Features from Scanning Electron Microscope Images [Conference Presentation]. 10.2172/2004704

Emery, B., Ting, C., Gearhart, J.L., Tucker, J.D., & Tucker, J.D. (2022). A Model of Narrative Reinforcement on a Dual-Layer Social Network. 10.2172/1894003

Tucker, J.D., Heiskala, A., Sillanpaa, M., Sebert, S., & Sebert, S. (2022). Timing based clustering in the Northern Finland Birth Cohorts 1966 and 1986 suggests two new patterns for childhood BMI curve [Poster] [Conference Poster]. 10.2172/2004432

Goode, K., Tucker, J.D., Ries, D., & Ries, D. (2022). Functional inverse prediction with elastic shape analysis [Conference Presentation]. 10.2172/2004290

Brown, J.L., Davis, J., Huerta, J.G., Tucker, J.D., Shuler, K., & Shuler, K. (2022). Bayesian methods to extract cold curves from shockless compression experiments on the Z machine [Conference Presentation]. 10.2172/2003945

Tucker, J.D., Shand, L., Chowdhary, K., & Chowdhary, K. (2022). Multimodal Bayesian Registration of Noisy Functions Using an Elastic Metric [Conference Presentation]. 10.2172/2004168

Ries, D., Zhang, A., Tucker, J.D., Shuler, K., Ausdemore, M., & Ausdemore, M. (2022). A Framework for Inverse Prediction Using Functional Response Data. Journal of Computing and Information Science in Engineering, 23(1). 10.1115/1.4053752