Subset selection in regression. Boca Raton (FL): Chapman and Hall.Miller AJ (1992) Subset selection in regression. Chapman and Hall, Boca RatonM. Alan, Subset selection in regression., Stat. Med. 17 (December 21, 1992) 375-377.Miller, A. (2002). Subset selection in regression. New ...
Originally published in 1990, the first edition of Subset Selection in Regression filled a significant gap in the literature, and its critical and popular success has continued for more than a decade. Thoroughly revised to reflect progress in theory, methods, and computing power, the second edition...
In this article, we propose a criterion for subset selection in Poisson regression called Dp criterion. This criterion uses the deviance of the full model and subset model to arrive at a decision. Based on the same criterion a stepwise procedure is also developed to select the appropriate ...
海外直订Subset Selection in Regression 已售少于100 ￥739点击查看更多配送: 广东佛山至 北京市东城区 快递: 5.00预售,付款后55天内发货 保障:7天无理由退货 破损包退查看更多 用户评价 参数信息 图文详情 本店推荐 用户评价 参数信息 ISBN编号 9780367396220 作者 Miller, Alan 出版社名称 CRC Press 进口书分类...
Leslie, Selection of the best subset in regression analysis, Technometrics 9 (November 1967) 531}540.Hocking, R.R., & Leslie, R.N., 1967, "Selection of the best subset in regression analysis, " Technometrics, 9(4), 531-540.Hocking, R. R. and R. N. Leslie (1967) "Selection of ...
(1)子集选择(subset selection):以模型优劣的判别准则来选择合适的自变量子集,常见的方法有最优子集法和逐步回归法;(2)收缩法/正则化(shrinkage/regularization):在对所有变量的传统最小二乘回归中加入约束,使得某些回归系数收缩为0,从而达到选择合适自变量的目的,主要包括岭回归(ridge regression)及lasso回归;...
We demonstrate applications of our approach on simulated data, as well as on a real data set of HIV cases in Tennessee counties from the year 2010. Finally, using a genetic algorithm within our framework, we perform variable subset selection to determine the covariates that are most responsible...
Feature selection can be found in many areas of machine learning and data mining [9], such as clustering, classification, and regression. From another point of view, feature selection can be categorized into supervised (with labeled data, e.g., classification) [37,38] and unsupervised (with ...
[文献阅读]An Efficient Evolutionary Algorithm for Subset Selection with General Cost Constraints(Bian C),程序员大本营,技术文章内容聚合第一站。
Variable selectionmutual informationnormal mixtureEM algorithmBest subset selection problem is one of the classical problems in statistics and in data mining. When variables of concern are continuous types, the problem is classical in classical regression problems. Most of the data mining techniques ...