Bayesian lasso principal component regression with an application
Bayesian lasso principal component regression with an application
The topic of variable selection in constructing statistical models has received wide attention in many applications, including medical, economic, engineering, and various other fields. Since, this method helps researchers save time and effort, by concentrating on crucial variables and eliminating unimportant variables from the statistical models under study. The famous …