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Boston house prediction dataset
The Boston house prediction dataset contains 506 instances, each with 13 numerical features. -
Simulation Study
A regression problem where the true coefficient function β is sparse and smooth, in order to show how the adaptive centering is able to jointly shrink towards a mixed target. -
UCI Regression Datasets
The dataset used in the paper is the UCI Regression Datasets, which are a standard benchmark for evaluating conditional density estimators.