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A generalized likelihood-based Bayesian approach for scalable joint regression and covariance selection in high dimensions.
Srijata Samanta
Kshitij Khare
George Michailidis
Published in:
Stat. Comput. (2022)
Keyphrases
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high dimensions
high dimensional data
high dimensional
regression model
joint probability
maximum likelihood
indexing schemes
likelihood model
high quality
high dimensional spaces
poor quality
regression algorithm
data sets
image analysis
database management systems
linear regression