| Bayesian sensitivity analysis with the Fisher–Rao metric S Kurtek, K Bharath Biometrika 102 (3), 601-616, 2015 | 43 | 2015 |
| A geometric approach to visualization of variability in functional data W Xie, S Kurtek, K Bharath, Y Sun Journal of the American Statistical Association 112 (519), 979-993, 2017 | 39 | 2017 |
| Radiologic image-based statistical shape analysis of brain tumours K Bharath, S Kurtek, A Rao, V Baladandayuthapani Journal of the Royal Statistical Society Series C: Applied Statistics 67 (5 …, 2018 | 33 | 2018 |
| 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 | 24 | 2022 |
| DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer A Saha, S Banerjee, S Kurtek, S Narang, J Lee, G Rao, J Martinez, ... NeuroImage: Clinical 12, 132-143, 2016 | 22 | 2016 |
| Spacings around an order statistic HN Nagaraja, K Bharath, F Zhang Annals of the Institute of Statistical Mathematics 67 (3), 515-540, 2015 | 20 | 2015 |
| A geometric variational approach to Bayesian inference A Saha, K Bharath, S Kurtek Journal of the American Statistical Association, 2019 | 19 | 2019 |
| Functional data analysis techniques for the study of structural parameters in polymer composites TGK Urs, K Bharath, S Yallappa, S Rudrappa Journal of Applied Crystallography 49 (2), 594-605, 2016 | 16 | 2016 |
| A diffusion approach to Stein's method on Riemannian manifolds H Le, A Lewis, K Bharath, C Fallaize arXiv preprint arXiv:2003.11497, 2020 | 12 | 2020 |
| Distribution on warp maps for alignment of open and closed curves K Bharath, S Kurtek Journal of the American Statistical Association 115 (531), 1378-1392, 2020 | 11 | 2020 |
| Tree-based methods for characterizing tumor density heterogeneity K Shoemaker, BP Hobbs, K Bharath, CS Ng, V Baladandayuthapani PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018: Proceedings of the Pacific Symposium …, 2018 | 11 | 2018 |
| Differential privacy over Riemannian manifolds M Reimherr, K Bharath, C Soto Advances in Neural Information Processing Systems 34, 12292-12303, 2021 | 10 | 2021 |
| Biomedical applications of geometric functional data analysis J Matuk, S Mohammed, S Kurtek, K Bharath Handbook of variational methods for nonlinear geometric data, 675-701, 2020 | 9 | 2020 |
| RADIOHEAD: Radiogenomic analysis incorporating tumor heterogeneity in imaging through densities S Mohammed, K Bharath, S Kurtek, A Rao, V Baladandayuthapani The Annals of Applied Statistics 15 (4), 1808-1830, 2021 | 7 | 2021 |
| Analysis of shape data: From landmarks to elastic curves K Bharath, S Kurtek Wiley Interdisciplinary Reviews: Computational Statistics 12 (3), e1495, 2020 | 7 | 2020 |
| Statistical tests for large tree-structured data K Bharath, P Kambadur, DK Dey, A Rao, V Baladandayuthapani Journal of the American Statistical Association 112 (520), 1733-1743, 2017 | 7 | 2017 |
| Asymptotics of the Empirical Cross-over Function K Bharath, V Pozdnyakov, DK Dey Annals of the Institute of Statistical Mathematics 66, 369-382, 2014 | 6 | 2014 |
| Shape and structure preserving differential privacy C Soto, K Bharath, M Reimherr, A Slavković Advances in Neural Information Processing Systems 35, 24693-24705, 2022 | 5 | 2022 |
| Variograms for kriging and clustering of spatial functional data with phase variation X Guo, S Kurtek, K Bharath Spatial statistics 51, 100687, 2022 | 5 | 2022 |
| Test to distinguish a Brownian motion from a Brownian bridge using Polya tree process K Bharath, DK Dey Statistics & probability letters 81 (1), 140-145, 2011 | 5 | 2011 |
Sebastian KurtekDepartment of Statistics, The Ohio State UniversityVerified email at stat.osu.edu
