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Papers
  • Bandara, D., Ellingson, L., Ghosh, S., and Pal, R. (2023) A modified neighborhood hypothesis test for population mean in functional data. In review after minor revisions at Journal of Agricultural, Biological, and Environmental Statistics .

  • Zhang, W. and Ellingson, L. (2023) Detecting and Resetting Tipping Points to Create More HIV Post-treatment Controllers with Bifurcation and Sensitivity Analysis. Accepted for publication at SIAM Journal of Applied Mathematics .

  • Ahanda, B., Osborne, D.E., and Ellingson, L. (2022) Robustness of lognormal confidence regions for means of symmetric positive definite matrices when applied to mixtures of lognormal distributions. METRON (2022). https://doi.org/10.1007/s40300-022-00234-z .

  • Jayasinghe, J.M., Prematilake, C., and Ellingson, L. (2021) Regression models using the LINEX loss to predict lower bounds for the number of points for approximating planar contour shapes. Journal of Applied Statistics, DOI: 10.1080/02664763.2021.1986685 .

  • Zhang, W., Ellingson, L., Frascoli, F., and Heffernan, J. (2021) An Investigation of Tuberculosis Progression Revealing the Role of Macrophages Apoptosis via Sensitivity and Bifurcation Analysis. J Math Biol. 83(3):31. doi: 10.1007/s00285-021-01655-6 .

  • Premarathna, G.I. and Ellingson, L. (2021) A mathematical representation of protein binding sites using structural dispersion of atoms from principal axes for classification of binding ligands. PLOS ONE 16(4): e0244905. https://doi.org/10.1371/journal.pone.0244905 .

  • Alexander, B. and Ellingson, L. (2019) Bayesian Model for the Prediction of United States Presidential Elections. SIAM Undergraduate Research Online. Vol. 12, p. 31-49. Undergraduate Research Paper.

  • Prematilake, C. and Ellingson, L. (2018) Evaluation and Prediction of Polygon Approx- imations of Planar Contours for Shape Analysis. Journal of Applied Statistics. 45 (7), p. 1227-1246, DOI: 10.1080/02664763.2017.1364716.

  • Ellingson, L., Groisser, D., Osborne, D., Patrangenaru, V., and Schwartzman, A. (2016) Nonparametric Bootstrap of Sample Means of Positive Definite Matrices with an Application to Diffusion-Tensor- Imaging Data. Communications in Statistics - Simulation and Computation. 46 (6), p. 4851-4879

  • Qiu, M., Patrangenaru, V., and Ellingson, L. (2014) How far is the Corpus Callosum of an average individual from Albert Einstein’s? Proceedings of COMPSTAT 2014, The 21st International Conference on Computational Statistics.p. 403-410

  • Ellingson, L., Hendriks, H., Patrangenaru, V., and San Valentin, P. (2013).  On the CLT on Low Dimensional Stratified Spaces.  Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics. Springer Proceedings in Mathematics & Statistics, 74, 227-240.

  • Ellingson, L., Ruymgaart, F., and V. Patrangenaru. (2013) Nonparametric Estimation of Means on Hilbert Manifolds and Extrinsic Analysis of Mean Shapes of Contours. Journal of Multivariate Analysis. 122, 317-333.

  • Ellingson, L., Ruymgaart, F. H., and V. Patrangenaru. (2013) Data analysis on Hilbert manifolds and shape analysis of planar contours. Accepted at Statistical Models and Methods for non-Euclidean Data with Current Scientific Applications, The 32nd Leeds Annual Statistical Research Workshop.
  • Osborne, D. E., Patrangenaru, V., Ellingson, L., Groisser, D., and Schwartzman, A. (2013). Nonparametric Two-Sample Tests on Homogeneous Riemannian Manifolds, Cholesky Decompositions and Diffusion Tensor Image Analysis. Journal of Multivariate Analysis, 119, 163-175. (link)
  • R. N. Bhattacharya, M. Buibas, I. L. Dryden, L. A. Ellingson, D. Groisser, H. Hendriks, S. Huckemann, Huiling Le, X. Liu, J. S. Marron, D. E. Osborne, V. Patrangenaru, A. Schwartzman, H. W. Thompson, A.T.A. Wood (2012). Extrinsic Data Analysis on Sample Spaces with a Manifold Stratification. Advances of Mathematics, Invited Contributions at the Seventh Congress of Romanian Mathematicians, Brassov, Romania, 2011. pp. 148–156.

  • Ellingson, L and Zhang, J. (2012). Protein Surface Matching by Incorporating Local and Global Geometric Information. PLoS ONE 7(7): e40540. (link)

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  • Bhattacharya, R.N; Ellingson, L; Liu, X; Patrangenaru, V and Crane, M. (2012). Extrinsic Analysis on Manifolds is Computationally Faster than Intrinsic Analysis with Application to Quality Control by Machine Vision. Appl. Stochastic Models Bus. Ind., 28: 222–235. (link)

  • Buibas, M.; Crane, M.; Ellingson, L. and Patrangenaru, V. (2011). A Projective Frame-Based Shape Analysis of a Rigid Scene from Noncalibrated Digital Camera Imaging Outputs. Proc. of JSM, 2011, Miami, FL.

  • Ellingson, L and Zhang, J. (2011). An efficient algorithm for matching protein binding sites for protein function prediction. Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine 2011.
Books
  • Patrangenaru, V. and Ellingson, L.A.. (2015). Nonparametric Statistics on Manifolds and Their Applications to Object Data Analysis. Chapman & Hall/CRC.
Book Chapters
  • Piyush, V., Ellingson, L., VanderPlas, S., and Ghosh, S. (2023) Introduction to image data analysis Festschrift in honour of Professor Tathagata Bandyopadhyay. Submitted


Leif Ellingson
 Texas Tech University
Department of Mathematics and Statistics
Broadway and Boston
Lubbock, TX
e-mail: leif dot ellingson at ttu dot edu