Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines
Bayesian Model Selection in Additive Partial Linear Models Via Locally Adaptive Splines
–We provide a flexible framework for selecting among a class of additive partial linear models that allows both linear and nonlinear additive components. In practice, it is challenging to determine which additive components should be excluded from the model while simultaneously determining whether nonzero additive components should be represented as …