検索結果 1 件
デジタル記事
インターネットで読める全国の図書館
- 要約等The robust lasso-type regularized regression is a useful tool for simultaneous e......n and variable selection even in the presence o......Crucial issues in the robust modeling procedure include the selection of regularization parameters and also a tuning constant in outlier detect......lthough the performance of the robust sparse regression strongly depen......hoice of these tuning parameters, little attention was paid for this issue, particularly in the presence o......roblem of choosing the tuning parameters and propose an information-theoreti...... the bootstrap information criterio......ample may contain more outliers compared with t...
- 件名Efficient bootstrap information criterion Robust sparse regression modeling Tuning parameter selector Winsorization technique
検索結果は以上です。