Bayesian Approximate Kernel Regression with Variable Selection

Lorin Crawford, Kris C. Wood, Xiang Zhou +1

Nonlinear kernel regression models are often used in statistics and machine learning because they are more accurate than linear models. Variable selection for kernel regression mod…