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 ...

Other tree ensemble regression techniques include random forest regression (and a variant called bagging regression), and gradient boosting regression. Compared to other regression techniques, ...

We assess the implications of key methodological decisions when developing tree-ring based growth–mortality relationships using logistic mixed-effects regression models. As examples, we use published ...

Based on the DCF model, it can be stated that the current value of a stock ( P 0 ) is a function of its current FCF ( FCF 0 ), its future expected FCF growth rates ( G 1 , G 2 , …G n ), and the ...

Regression trees facilitated insights into the significance of uncertain factors and decision variables combinations on system performance. Additionally, they create highly interpretable framework ...

Comparative analyses of tree‐based regression models have further underlined the precision of these techniques, as evidenced by studies on commercial poultry where morphological traits served as ...