| Bayesian solution uncertainty quantification for differential equations O Chkrebtii, DA Campbell, B Calderhead, MA Girolami Bayesian Analysis 11 (4), 1239-1267, 2013 | 189* | 2013 |
| Bayesian framework for simultaneous registration and estimation of noisy, sparse, and fragmented functional data J Matuk, K Bharath, O Chkrebtii, S Kurtek Journal of the American Statistical Association 117 (540), 1964-1980, 2022 | 26 | 2022 |
| Maximum profile likelihood estimation of differential equation parameters through model based smoothing state estimates DA Campbell, O Chkrebtii Mathematical Biosciences 246 (2), 283-292, 2013 | 26 | 2013 |
| Bayesian numerical methods for nonlinear partial differential equations J Wang, J Cockayne, O Chkrebtii, TJ Sullivan, CJ Oates Statistics and Computing 31, 1-20, 2021 | 21 | 2021 |
| Visualization and outlier detection for multivariate elastic curve data W Xie, O Chkrebtii, S Kurtek IEEE transactions on visualization and computer graphics 26 (11), 3353-3364, 2019 | 21 | 2019 |
| Automatic detection and uncertainty quantification of landmarks on elastic curves J Strait, O Chkrebtii, S Kurtek Journal of the American Statistical Association, 2019 | 17 | 2019 |
| Adaptive step-size selection for state-space probabilistic differential equation solvers OA Chkrebtii, DA Campbell Statistics and Computing 29, 1285-1295, 2019 | 15 | 2019 |
| Transdimensional approximate Bayesian computation for inference on invasive species models with latent variables of unknown dimension OA Chkrebtii, EK Cameron, DA Campbell, EM Bayne Computational Statistics & Data Analysis 86, 97-110, 2015 | 14 | 2015 |
| Uncertainty quantification accounting for model discrepancy within a random effects bayesian framework DE Ricciardi, OA Chkrebtii, SR Niezgoda Integrating Materials and Manufacturing Innovation 9, 181-198, 2020 | 11 | 2020 |
| Uncertainty Quantification for Parameter Estimation and Response Prediction: Generalizing the Random Effects Bayesian Inferential Framework to Account for Material and … DE Ricciardi, OA Chkrebtii, SR Niezgoda Integrating Materials and Manufacturing Innovation 8, 273-293, 2019 | 11 | 2019 |
| Bayesian calibration of multistate stochastic simulators MT Pratola, O Chkrebtii Statistica Sinica, 693-719, 2018 | 9 | 2018 |
| Oncogenetic network estimation with disjunctive Bayesian networks PB Nicol, KR Coombes, C Deaver, O Chkrebtii, S Paul, AE Toland, ... Computational and Systems Oncology 1 (2), e1027, 2021 | 8 | 2021 |
| Parallel tempering strategies for model-based landmark detection on shapes J Strait, O Chkrebtii, S Kurtek Communications in Statistics-Simulation and Computation 51 (4), 1415-1435, 2022 | 6 | 2022 |
| Probabilistic solution of differential equations for Bayesian uncertainty quantification and inference OA Chkrebtii Simon Fraser University, 2013 | 6 | 2013 |
| Elastic -means clustering of functional data for posterior exploration, with an application to inference on acute respiratory infection dynamics X Zang, S Kurtek, O Chkrebtii, JD Tucker arXiv preprint arXiv:2011.12397, 2020 | 2 | 2020 |
| Contributed discussion on article by Pratola OA Chkrebtii, RB Stern, F Louzada, S Leman, A Hoegh, R Entezari, ... | 2 | 2016 |
| Bayesian Inference for Crystallographic Texture Uncertainty Quantification DE Ricciardi, O Chkrebtii, SR Niezgoda AIAA Scitech 2019 Forum, 0968, 2019 | 1 | 2019 |
| Rejoinder OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami | 1 | 2016 |
| Modeling spatiotemporal trends in the productivity of North Pacific Salmon O Chkrebtii, J Cao Environmetrics 24 (1), 31-40, 2013 | 1 | 2013 |
| Dimension-reduced Reconstruction Map Learning for Parameter Estimation in Likelihood-Free Inference Problems R Zhang, OA Chkrebtii, D Xiu arXiv preprint arXiv:2407.13971, 2024 | | 2024 |
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
