| The graphical horseshoe estimator for inverse covariance matrices Y Li, BA Craig, A Bhadra Journal of Computational and Graphical Statistics 28 (3), 747-757, 2019 | 70 | 2019 |
| Prediction risk for the horseshoe regression A Bhadra, J Datta, Y Li, NG Polson, B Willard Journal of Machine Learning Research 20 (78), 1-39, 2019 | 22* | 2019 |
| Assessment of disease status and treatment response with artificial intelligence− enhanced electrocardiography in obstructive hypertrophic cardiomyopathy GH Tison, KC Siontis, S Abreau, Z Attia, P Agarwal, A Balasubramanyam, ... Journal of the American College of Cardiology 79 (10), 1032-1034, 2022 | 19 | 2022 |
| Horseshoe Regularisation for Machine Learning in Complex and Deep Models1 A Bhadra, J Datta, Y Li, N Polson International Statistical Review 88 (2), 302-320, 2020 | 19 | 2020 |
| Joint mean-covariance estimation via the horseshoe with an application in genomic data analysis Y Li, J Datta, BA Craig, A Bhadra arXiv preprint arXiv:1903.06768, 2019 | 6 | 2019 |
| Restricted mean survival time estimate using covariate adjusted pseudovalue regression to improve precision Y Li, JL Ross, AM Smith, DP Miller arXiv preprint arXiv:2208.04495, 2022 | | 2022 |
| A study of the prediction performance and multivariate extensions of the horseshoe estimator Y Li Purdue University, 2019 | | 2019 |
