Publications

Student co-authors indicated by *

Preprints

Peer-reviewed journal articles

  • Kim, Y.*, Brodnitz, S.*, Chkrebtii, O.A., Bingham, F.M., Evaluation of Seasonality in Sea Surface Salinity Balance Equation via Function Registration. Data Science in Science. 2(1). 2023. (doi:10.1080/26941899.2023.2231061)
  • Chkrebtii, O.A., Bingham, F.M., Automatic Detection of Rainfall at Hourly Time Scales from Mooring Near-Surface Salinity in the Eastern Tropical Pacific. Artificial Intelligence for the Earth Systems. 2(3). 2023. (doi:10.1175/AIES-D-22-0009.1)
  • Matuk, J.*, Bharath, K., Chkrebtii, O.A., Kurtek, S., Bayesian Framework for Simultaneous Registration and Estimation of Noisy, Sparse and Fragmented Functional Data. Journal of the American Statistical Association (theory and methods). 117 (540). 2022 (doi:10.1080/01621459.2021.1893179)
  • Chkrebtii, O.A., Garcia, Y.E.* (joint co-first authors), Capistran, M.A., Noyola, D.E., Inference for Stochastic Kinetic Models from Multiple Data Sources for Joint Estimation of Infection Dynamics from Aggregate Reports and Virological Data. Annals of Applied Statistics. 16 (2). 2022 (doi:10.1214/21-AOAS1527)
  • Strait, J., Chkrebtii, O.A., Kurtek, S., Parallel Tempering Strategies for Model-based Landmark Detection on Shapes. Communications in Statistics – Simulation and Computation. 51(4). 2022. (doi:10.1080/03610918.2019.1670843)
  • Wang, J.*, Cockayne, J., Chkrebtii, O.A., Sullivan, T. J. , Oates, C. J., Bayesian Numerical Methods for Nonlinear Partial Differential Equations. Statistics and Computing. 21 (55). 2021 (doi:10.1007/s11222-021-10030-w)
  • Nicol, P.B.*, Coombes, K.R., Deaver, C.*, Chkrebtii, O.A., Paul, S., Asiaee, A., Oncogenetic network estimation with disjunctive Bayesian networks. Computational and System Oncology. 1(2). 2021. (doi:10.1002/cso2.1027)
  • Matuk, J.*, Chkrebtii, O.A., Niezgoda, S., Bayesian Inference for Polycrystalline Materials. Stat. 10(1), pp. e340. 2021. (doi:10.1002/sta4.340)
  • Ricciardi, D.*, Chkrebtii, O.A., Niezgoda, S., Uncertainty Quantification Accounting for Model Discrepancy within a Random Effects Bayesian Framework. Integrating Materials and Manufacturing Innovation. 9, 181-198. 2020. (doi:10.1007/s40192-020-00176-2)
  • Xie, W., Chkrebtii, O.A., Kurtek, S., Visualization and Outlier Detection for Multivariate Elastic Curve Data. IEEE Transactions on Visualization and Computer Graphics. 26(11), pp 3353-3364. 2020. (doi:10.1109/TVCG.2019.2921541)
  • Ricciardi, D.*, Chkrebtii, O.A., Niezgoda, S., Uncertainty Quantification for Parameter Estimation and Response Prediction. Integrating Materials and Manufacturing Innovation. 8(3), 273–293. 2019. (doi:10.1007/s40192-019-00154-3)
  • Chkrebtii, O.A., Campbell, D.A., Adaptive Step-size Selection for State-space Probabilistic Differential Equation Solvers. Statistics and Computing (special issue on probabilistic numerical methods). 29(6), pp 1285-1295. 2019. (doi:10.1007/s11222-019-09899-5)
  • Strait, J.*, Chkrebtii, O.A., Kurtek, S., Bayesian Models for Automatic Landmark Detection on Elastic Curves. Journal of the American Statistical Association (applications and case studies). 114(527): 1002-1017. 2019. (doi:10.1080/01621459.2018.1527224)
  • Pratola, M.T., Chkrebtii, O.A, Bayesian Calibration of Multistate Stochastic Simulators. Statistica Sinica (special issue on computer experiments and uncertainty quantification). 28(2): 693-719. 2018. (doi:10.5705/SS.202016.0403)
  • Chkrebtii, O.A., Campbell, D.A., Calderhead, B., Girolami, M.A., Bayesian Solution Uncertainty Quantification for Differential Equations. Bayesian Analysis (article with discussion). 11(4): 1239-1267. 2016. (doi:10.1214/16-BA1017)
  • Chkrebtii, O.A., Cameron, E.K., Campbell, D.A., Bayne, E., Transdimensional Approximate Bayesian Computation for Inference on Invasive Species Models with Latent Variables of Unknown Dimension, Computational Statistics & Data Analysis. 86: 97–110. 2015. (doi:10.1016/j.csda.2015.01.002)
  • Campbell, D. and Chkrebtii, O.A., Maximum Profile Likelihood Estimation of Differential Equation Parameters through Model Based Smoothing State Estimates, Mathematical Biosciences. 246(2): 283-292. 2013. (doi:10.1016/j.mbs.2013.03.011)
  • Chkrebtii, O.A. and Cao, J., Modeling Spatiotemporal Trends in the Productivity of North Pacific Salmon. Environmetrics. 4(1): 31–40. 2013. (doi:10.1002/env.2183)

Editor-reviewed papers and peer-reviewed conferences

  • Matuk, J.*, Bharath, K., Chkrebtii, O.A., Kurtek, S., Geometric Empirical Bayesian Model for Classification of Functional Data Under Diverse Sampling Regimes. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2021, pp. 4434-4442
  • Matuk, J.*, Chkrebtii, O.A., Kurtek, S., Estimation of Sparsely Observed Signals with an Empirical Bayesian Model. ACSSC 2019. (Asilomar Conference on Signals, Systems, and Computers), 2019. Chkrebtii, O.A., Campbell, D.A., Calderhead, B., Girolami, M.A., Rejoinder on Article by Chkrebtii et al. Bayesian Analysis. 11(4): 1295–1299. 2016. (doi:10.1214/16-BA1017REJ)
  • Chkrebtii, O.A., Leman, S., Hoegh, A., Entezari, R., Craiu, R.V., Rosenthal, J.S., Mohammadi, A., Kaptein, M., Martino, L., Stern, R.B., Louzada, F., Contributed Discussion on Article by Pratola. Bayesian Analysis. 11 (3): 929–943. 2016. (doi:10.1214/16-BA999H)