query: Reducing the number of independent variables
positive_passages.docid: 25322
positive_passages.text: Regression in $p>n$ setting: how to choose regularization method (Lasso, PLS, PCR, ridge)?
negative_passages.docid: 146656
negative_passages.text: Multivariate Application of Slutsky's lemma
negative_passages.docid: 123925
negative_passages.text: Grabbing the independent columns of a matrix A
negative_passages.docid: 53330
negative_passages.text: Lasso and statistical signficance of selected variables
negative_passages.docid: 31133
negative_passages.text: Functions of Independent Random Variables
negative_passages.docid: 26034
negative_passages.text: Choosing variables to include in a multiple linear regression model
negative_passages.docid: 3261
negative_passages.text: How to do a regression of a series of variables without typing each variable name
negative_passages.docid: 3989
negative_passages.text: Preprocess categorical variables with many values
negative_passages.docid: 9621
negative_passages.text: Bound for the correlation of three random variables
negative_passages.docid: 26020
negative_passages.text: Nice expression for minimum of three variables?
negative_passages.docid: 45349
negative_passages.text: Why is variable selection necessary?
negative_passages.docid: 122690
negative_passages.text: Constructing functions with variable number of output arguments
negative_passages.docid: 19279
negative_passages.text: dropping injectivity from multivariable change of variables
negative_passages.docid: 89284
negative_passages.text: Generating correlated binomial random variables
negative_passages.docid: 68137
negative_passages.text: Independence and conditional independence between random variables
negative_passages.docid: 27143
negative_passages.text: Detecting significant predictors out of many independent variables
negative_passages.docid: 37779
negative_passages.text: Simpler way to create dictionary of separate variables?