Regression models for survival time data involve estimation of the hazard rate as a function predictor variables and associated slope parameters. An adaptive approach is formulated such regression modeling. The modeled using fractional polynomials, that is, linear combinations products power transforms together with other available predictors. These polynomial are restricted to generating posit...

This article introduces a Bayesian neural network estimation method for quantile regression assuming an asymmetric Laplace distribution (ALD) the response variable. It is shown that posterior feedforward asymptotically consistent under misspecified ALD model. consistency proof embeds problem from density domain and uses bounds on bracketing entropy to derive over Hellinger neighborhoods. result...