Research

Publications and Preprints


  • Linh Do (2025). Changepoint detection: theory, algorithms, and application in intracellular transport, Tulane University. [Thesis].

  • Dat Do, Linh Do, XuanLong Nguyen (2025). Strong identifiability and parameter learning in regression with heterogeneous response, Electronic Journal of Statistics, 19(1), 131–203. [online]

  • Keisha J. Cook, Nathan Rayens, Linh Do, Christine K. Payne, and Scott A. McKinley (2025). Considering experimental frame rates and robust segmentation analysis of piecewise-linear microparticle trajectories, Mathematical Biosciences and Engineering, 22(10), 2595–2626. [online].

  • Linh Do, Dat Do, Keisha J. Cook, Nathan Rayens, Christine K. Payne, Scott A. McKinley (2025). Change-in-velocity detection for multidimensional data, To be submitted to Journal of Computational and Graphical Statistics. [arxiv][code][website].

  • Dat Do, Linh Do, Scott A. McKinley, XuanLong Nguyen, Jonathan Terhorst (2024). Dendrogram of mixing measures: Hierarchical Clustering and model selection for finite mixture models. Under review at Biometrika. [arxiv] [code] [website].

  • Nguyen, A.T., Pham, H.T.T., Trinh, Q.A., Linh Do, Dang, P.A., & Hens, L. (2021). The geography of climate change adaptation in the Vietnam northern mountains: A quantitative analysis for intentions of indigenous ethnic minorities using structural equation modeling (SEM) and protection motivation theory (PMT) In Recent Technologies for Disaster Management and Risk Reduction (pp. 275 - 291 ). Springer, Cham.[online].


Working projects

  • Linh Do et al.
    Dendrogram of signal functions for summarization and model selection in changepoint detection.
    In preparation for submission to Journal of Statistical Planning and Inference.

  • Linh Do et al. Microtuble Dynamics in Neuronal Cells.

  • Dat Do, Linh Do, Peter Carbonetto, Matthew Stephens. Improved out-sample covariance estimation for fitting SuSiE model with summary statistics.

  • Dat Do, Linh Do, Sunrit Chakraborty. Visualizing, Interpreting and Improving Sparse Matrix Factorization Model fit.