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Found 2 papers, 1 papers with code
Uniform Inference in High-Dimensional Gaussian Graphical Models
Graphical models have become a very popular tool for representing dependencies within a large set of variables and are key for representing causal structures.
High-Dimensional $L_2$Boosting: Rate of Convergence
Finally, we present simulation studies and applications to illustrate the relevance of our theoretical results and to provide insights into the practical aspects of boosting.
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