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Vivekananda Roy
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Journal Articles
- 2023
- [j9]Dongjin Li, Somak Dutta, Vivekananda Roy:
Model Based Screening Embedded Bayesian Variable Selection for Ultra-high Dimensional Settings. J. Comput. Graph. Stat. 32(1): 61-73 (2023) - [j8]Vivekananda Roy, Lijin Zhang:
Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs. J. Comput. Graph. Stat. 32(2): 501-512 (2023) - 2022
- [j7]Anand Dixit, Vivekananda Roy:
Analyzing relevance vector machines using a single penalty approach. Stat. Anal. Data Min. 15(2): 143-155 (2022) - 2021
- [j6]Run Wang, Somak Dutta, Vivekananda Roy:
A note on marginal correlation based screening. Stat. Anal. Data Min. 14(1): 88-92 (2021) - 2018
- [j5]Xin Wang, Vivekananda Roy, Zhengyuan Zhu:
A new algorithm to estimate monotone nonparametric link functions and a comparison with parametric approach. Stat. Comput. 28(5): 1083-1094 (2018) - 2016
- [j4]Vivekananda Roy:
Improving efficiency of data augmentation algorithms using Peskun's theorem. Comput. Stat. 31(2): 709-728 (2016) - 2015
- [j3]Krishna B. Athreya, Vivekananda Roy:
Estimation of integrals with respect to infinite measures using regenerative sequences. J. Appl. Probab. 52(4): 1133-1145 (2015) - 2014
- [j2]Vivekananda Roy:
Efficient estimation of the link function parameter in a robust Bayesian binary regression model. Comput. Stat. Data Anal. 73: 87-102 (2014) - 2010
- [j1]Vivekananda Roy, James P. Hobert:
On Monte Carlo methods for Bayesian multivariate regression models with heavy-tailed errors. J. Multivar. Anal. 101(5): 1190-1202 (2010)
Informal and Other Publications
- 2021
- [i1]Anand Dixit, Vivekananda Roy:
Analyzing Relevance Vector Machines using a single penalty approach. CoRR abs/2107.02085 (2021)
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