Seguir
Oksana A. Chkrebtii
Título
Citado por
Citado por
Ano
Bayesian solution uncertainty quantification for differential equations
O Chkrebtii, DA Campbell, B Calderhead, MA Girolami
Bayesian Analysis 11 (4), 1239-1267, 2013
178*2013
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
262013
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
232022
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
202019
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
172021
Automatic detection and uncertainty quantification of landmarks on elastic curves
J Strait, O Chkrebtii, S Kurtek
Journal of the American Statistical Association, 2019
162019
Adaptive step-size selection for state-space probabilistic differential equation solvers
OA Chkrebtii, DA Campbell
Statistics and Computing 29, 1285-1295, 2019
152019
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
142015
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
112020
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
112019
Bayesian calibration of multistate stochastic simulators
MT Pratola, O Chkrebtii
Statistica Sinica, 693-719, 2018
92018
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
62022
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
62021
Probabilistic solution of differential equations for Bayesian uncertainty quantification and inference
OA Chkrebtii
Simon Fraser University, 2013
62013
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
22020
Contributed discussion on article by Pratola
OA Chkrebtii, RB Stern, F Louzada, S Leman, A Hoegh, R Entezari, ...
22016
Bayesian Inference for Crystallographic Texture Uncertainty Quantification
DE Ricciardi, O Chkrebtii, SR Niezgoda
AIAA Scitech 2019 Forum, 0968, 2019
12019
Rejoinder
OA Chkrebtii, DA Campbell, B Calderhead, MA Girolami
12016
Modeling spatiotemporal trends in the productivity of North Pacific Salmon
O Chkrebtii, J Cao
Environmetrics 24 (1), 31-40, 2013
12013
Evaluation of Seasonality in Sea Surface Salinity Balance Equation via Function Registration
Y Kim, S Brodnitz, O Chkrebtii, FM Bingham
Data Science in Science 2 (1), 2231061, 2023
2023
O sistema não pode efectuar a operação agora. Tente mais tarde.
Artigos 1–20