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Bayesian Inference for High Dimensional Models: Convergence Properties and Computational Issues.Published in
2014
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About the journal
| Open Access | No |
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Authors (1)
Sayantan Banerjee- Personalized Integrated Network Modeling of the Cancer Proteome Atlas
- DEMARCATE: Density-based magnetic resonance image clustering for assessing tumor heterogeneity in cancer
- Posterior convergence rates for high-dimensional precision matrix estimation using G-Wishart priors
- Spectral clustering via sparse graph structure learning with application to proteomic signaling networks in cancer
