Bro, Variable selection in regression--a tutorial, J. Chemom. 24 (2010) 728-737.Andersen CM, Bro R (2010) Variable selection in regression--a tutorial. J Chemom 24:728-737Andersen, C. M. & Bro, R. Variable selection in regression-a tutorial. J. Chemometrics 24, 728-737, doi:...
An objective Bayesian procedure for variable selection in regression - Girón, Moreno, et al. - 2006Giro´n, FJ, Moreno, E, Mart´inez, ML. An Objective Bayesian Procedure for Variable Selection in Regression. Birkh¨auser Boston, 2006b....
Variable selectionA challenging problem in the analysis of high-dimensional data is variable selection. In this study, we describe a bootstrap based technique for selecting predictors in partial least-squares regression (PLSR) and principle component regression (PCR) in high-dimensional data. Using a...
Febrero-Bande, M., Gonz´alez-Manteiga, W., & de la Fuente, M. O. (2017). Variable selection in functional additive regression models. In G. Aneiros, E. G. Bongiorno, R. Cao, & P. Vieu (Eds.), Functional Statistics and Related Fields (pp. 113-122). Cham: Springer Interna- ...
We propose a method for variable selection in multiple regression with random predictors. This method is based on a criterion that permits to reduce the variable selection problem to a problem of estimating suitable permutation and dimensionality. Then, estimators for these parameters are proposed and...
a polynomial regression model that excludes hierarchically inferior predictors (i.e., lower-order terms) is considered to be not well formulated. Existing variable-selection algorithms do not take into account the hierarchy of predictors and often select as "best" a model that is not hierarchically...
Furthermore, some methods able to perform both regression and variable selection simultaneously have recently been proposed. In this tutorial we give a short overview of the main variable selection methods. All Subset Models (ASM) The All Subset Models (ASM) method is the most simple and ...
Variable Selection in Logistic Regression: The British English Dative Alternation This paper addresses the problem of selecting the 'optimal' variable subset in a logistic regression model for a medium-sized data set. As a case study, we... D Theijssen - International Conference on Interfaces: ...
A Chudik,G Kapetanios,PM Hashem 摘要: This paper provides an alternative approach to penalized regression for model selection in the context of highヾimensional linear regressions where the number of covariates is large, often much larger than the number of available observations. We consider the...
A. predicted variable B. explanatory variable C. response variable D. independent variable 相关知识点: 试题来源: 解析 C。在回归分析中,因变量也被称为响应变量。A 是预测变量一般指自变量的预测结果,B 解释变量即自变量,D 独立变量错误。反馈 收藏 ...