Transdimensional approximate Bayesian computation for inference on invasive species models with latent variables of unknown dimension. - Oksana A. Chkrebtii; Erin K. Cameron; David A. Campbell; Erin M. Bayne (Comput. Stat. Data Anal., 2015)

Estimation of Sparsely Observed Signals with an Empirical Bayesian Model. - James Matuk; Oksana A. Chkrebtii; Sebastian Kurtek (ACSSC, 2019)

Adaptive step-size selection for state-space probabilistic differential equation solvers. - Oksana A. Chkrebtii; David A. Campbell (Stat. Comput., 2019)

Visualization and Outlier Detection for Multivariate Elastic Curve Data. - Weiyi Xie; Oksana A. Chkrebtii; Sebastian Kurtek (IEEE Trans. Vis. Comput. Graph., 2020)

Geometric Empirical Bayesian Model for Classification of Functional Data Under Diverse Sampling Regimes. - James Matuk; Karthik Bharath; Oksana A. Chkrebtii; Sebastian Kurtek (CVPR Workshops, 2021)

Bayesian numerical methods for nonlinear partial differential equations. - Junyang Wang; Jon Cockayne; Oksana A. Chkrebtii; Timothy John Sullivan; Chris J. Oates (Stat. Comput., 2021)

Parallel tempering strategies for model-based landmark detection on shapes. - Justin D. Strait; Oksana A. Chkrebtii; Sebastian Kurtek (Commun. Stat. Simul. Comput., 2022)

Probabilistic size-and-shape functional mixed models. - Fangyi Wang; Karthik Bharath; Oksana A. Chkrebtii; Sebastian Kurtek (NeurIPS, 2024)

Sequential Bayesian Registration for Functional Data. - Yoonji Kim; Oksana A. Chkrebtii; Sebastian Kurtek (Stat. Comput., 2025)