Shrinkage and Dimension Reduction Methods
The subset selection methods involve least squares to fit a linear model that contains a subset of the predictors. As an alternative, a model containing all ...
Linear Model Selection
In a regression setting, the standard linear model the form Y = β0 + β1 X1 + β2X2 + … + βpX...
Cross Validation
Resampling involves repeatedly drawing samples from a training set and refitting a model on each sample in order to obtain additional information about the f...
Linear Discriminant Analysis
Logistic regression involves directly modeling probability using the logistic function for the two possible response classes. In statistical jargon, we model...
Classification
The linear regression model assumes that the response variable is quantitative. But in many situations, the response variable is qualitative or categorical. ...
Potential Problems of Linear Regression
Linear Regression is one of the most basic and most commonly used prediction techniques known to humans, with applications in diverse fields. Unfortunately, ...