| Supremum norm posterior contraction and credible sets for nonparametric multivariate regression WW Yoo, S Ghosal | 92 | 2016 |
| Bayesian mode and maximum estimation and accelerated rates of contraction WW Yoo, S Ghosal | 8 | 2019 |
| Adaptive supremum norm posterior contraction: Wavelet spike-and-slab and anisotropic Besov spaces WW Yoo, V Rivoirard, J Rousseau arXiv preprint arXiv:1708.01909, 2017 | 7 | 2017 |
| Adaptive supremum norm posterior contraction: spike-and-slab priors and anisotropic Besov spaces WW Yoo, J Rousseau, V Rivoirard arXiv preprint arXiv:1708.01909, 2017 | 6 | 2017 |
| The Bayes Lepski's Method and Credible Bands through Volume of Tubular Neighborhoods WW Yoo, AW van der Vaart arXiv preprint arXiv:1711.06926, 2017 | 5 | 2017 |
| Contributed discussion on article by Chkrebtii, Campbell, Calderhead, and Girolami FX Briol, J Cockayne, O Teymur Bayesian Analysis 11 (4), 1285-1293, 2016 | 3 | 2016 |
| The Bayes Lepski's Method and Credible Bands through Volume of Tubular Neighborhoods W Weimin Yoo, AW van der Vaart ArXiv e-prints, arXiv: 1711.06926, 2017 | 2 | 2017 |
| Supplement to “Bayesian mode and maximum estimation and accelerated rates of contraction.” WW Yoo, S Ghosal DOI, 2018 | 1 | 2018 |
| Supremum Norm Posterior Contraction and Credible Sets for Nonparametric Multivariate Regression W Weimin Yoo, S Ghosal ArXiv e-prints, arXiv: 1411.6716, 2014 | 1 | 2014 |
| SciSports: Learning football kinematics through two-dimensional tracking data A Babic, H Bansal, G Finocchio, J Golak, M Peletier, J Portegies, ... arXiv preprint arXiv:1808.04550, 2018 | | 2018 |
| Discussion on Using Stacking to Average Bayesian Predictive Distributions by Yao et al WW Yoo arXiv preprint arXiv:1806.11427, 2018 | | 2018 |
| Contributed comment on Article by Wade and Ghahramani. WW Yoo Bayesian Analysis 13 (2), 2018 | | 2018 |
| Discussion on Using Stacking to Average Bayesian Predictive Distributions by Yao et al W Weimin Yoo arXiv e-prints, arXiv: 1806.11427, 2018 | | 2018 |
| Discussion on Bayesian Cluster Analysis: Point Estimation and Credible Balls by Sara Wade and Zoubin Ghahramani WW Yoo arXiv preprint arXiv:1803.05066, 2018 | | 2018 |
| Contributed comment on Article by Bradley, Holan, and Wikle. A Hoegh, K Flagg, C Stratton Bayesian Analysis 13 (1), 2018 | | 2018 |
| Discussion on Bayesian Cluster Analysis: Point Estimation and Credible Balls by Sara Wade and Zoubin Ghahramani W Weimin Yoo arXiv e-prints, arXiv: 1803.05066, 2018 | | 2018 |
| Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data (with Discussion) comment WW Yoo BAYESIAN ANALYSIS 13 (1), 284-285, 2018 | | 2018 |
| Discussion on Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data by Bradley et al WW Yoo arXiv preprint arXiv:1711.06477, 2017 | | 2017 |
| Discussion on Computationally Efficient Multivariate Spatio-Temporal Models for High-Dimensional Count-Valued Data by Bradley et al W Weimin Yoo arXiv e-prints, arXiv: 1711.06477, 2017 | | 2017 |
| Contributed Discussion to Uncertainty Quantification for the Horseshoe by St\'ephanie van der Pas, Botond Szab\'o and Aad van der Vaart WW Yoo arXiv preprint arXiv:1710.05987, 2017 | | 2017 |
Subhashis GhosalNorth Carolina State UniversityVerified email at stat.ncsu.edu
