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ORCIDSubhashis Ghosal
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2020 – today
- 2022
[j14]Arkaprava Roy
, Subhashis Ghosal:
Optimal Bayesian smoothing of functional observations over a large graph. J. Multivar. Anal. 189: 104876 (2022)- [j13]Jami J. Mulgrave, Subhashis Ghosal:
Regression-based Bayesian estimation and structure learning for nonparanormal graphical models. Stat. Anal. Data Min. 15(5): 611-629 (2022) - 2021
- [j12]Indrabati Bhattacharya, Subhashis Ghosal:
Bayesian multivariate quantile regression using Dependent Dirichlet Process prior. J. Multivar. Anal. 185: 104763 (2021) - 2020
- [i1]Rui Zhu, Subhashis Ghosal:
Bayesian Semi-supervised learning under nonparanormality. CoRR abs/2001.03798 (2020)
2010 – 2019
- 2019
- [j11]Rui Zhu, Subhashis Ghosal:
Bayesian Semiparametric ROC surface estimation under verification bias. Comput. Stat. Data Anal. 133: 40-52 (2019) - 2018
- [j10]Priyam Das, Subhashis Ghosal:
Bayesian non-parametric simultaneous quantile regression for complete and grid data. Comput. Stat. Data Anal. 127: 172-186 (2018) - 2017
- [j9]Priyam Das, Subhashis Ghosal:
Bayesian quantile regression using random B-spline series prior. Comput. Stat. Data Anal. 109: 121-143 (2017) - [j8]Prithwish Bhaumik, Subhashis Ghosal:
Bayesian inference for higher-order ordinary differential equation models. J. Multivar. Anal. 157: 103-114 (2017) - 2015
- [j7]Sayantan Banerjee, Subhashis Ghosal:
Bayesian structure learning in graphical models. J. Multivar. Anal. 136: 147-162 (2015) - [j6]Meng Li, Subhashis Ghosal:
Fast Translation Invariant Multiscale Image Denoising. IEEE Trans. Image Process. 24(12): 4876-4887 (2015) - 2014
- [j5]S. McKay Curtis, Sayantan Banerjee, Subhashis Ghosal:
Fast Bayesian model assessment for nonparametric additive regression. Comput. Stat. Data Anal. 71: 347-358 (2014) - 2013
- [j4]Bradley C. Turnbull, Subhashis Ghosal, Hao Helen Zhang:
Iterative selection using orthogonal regression techniques. Stat. Anal. Data Min. 6(6): 557-564 (2013) - [j3]John Thomas White, Subhashis Ghosal:
Denoising three-dimensional and colored images using a Bayesian multi-scale model for photon counts. Signal Process. 93(11): 2906-2914 (2013) - 2010
- [j2]Yuefeng Wu, Subhashis Ghosal:
The L1-consistency of Dirichlet mixtures in multivariate Bayesian density estimation. J. Multivar. Anal. 101(10): 2411-2419 (2010)
2000 – 2009
- 2007
- [j1]Yongqiang Tang, Subhashis Ghosal:
A consistent nonparametric Bayesian procedure for estimating autoregressive conditional densities. Comput. Stat. Data Anal. 51(9): 4424-4437 (2007)
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