Regression is used to model the relationship between two variables and predict the value of one variable based on the value of the other variable. Correlation and Regression Formula ...

Estimating a fixed effects model is equivalent to adding a dummy variable for each subject or unit of interest in the standard OLS model. To illustrate equivalence between the two approaches, we can ...

Additive models and tree-based regression models are two main classes of statistical models used to predict the scores on a continuous response variable. It is known that additive models become very ...

We propose a Bayesian variable selection approach for ultrahigh dimensional linear regression based on the strategy of split and merge. The approach proposed consists of two stages: split the ...