Discussion to: Bayesian graphical models for modern biological applications by Y. Ni, V. Baladandayuthapani, M. Vannucci and F.C. Stingo
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Publication:5970827
DOI10.1007/s10260-021-00606-1OpenAlexW4225923576MaRDI QIDQ5970827
No author found.
Publication date: 7 July 2022
Published in: Statistical Methods and Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10260-021-00606-1
Cites Work
- Scaling it up: stochastic search structure learning in graphical models
- Spatial Bayesian variable selection and grouping for high-dimensional scalar-on-image regression
- The Joint Graphical Lasso for Inverse Covariance Estimation Across Multiple Classes
- An efficient Markov chain Monte Carlo method for distributions with intractable normalising constants
- Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization
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