Bayesian variable selection in generalized additive partial linear models

Cites Work

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Linear smoothers and additive models
Estimation and variable selection for generalized additive partial linear models
Component selection and smoothing in multivariate nonparametric regression
Practical variable selection for generalized additive models
Variable selection in nonparametric additive models
Simultaneous selection of variables and smoothing parameters in structured additive regression models
High-dimensional additive modeling
Direct generalized additive modeling with penalized likelihood.
Semiparametric regression model selections.
Fast Bayesian model assessment for nonparametric additive regression
Bayesian variable and link determination for generalised linear models
Approximate Bayes factors and accounting for model uncertainty in generalised linear models
Prior Elicitation, Variable Selection and Bayesian Computation for Logistic Regression Models
Model Selection in Spline Nonparametric Regression
Semiparametric Regression
Predictive Variable Selection in Generalized Linear Models
Variable Selection and Function Estimation in Additive Nonparametric Regression Using a Data-Based Prior
Sparse Additive Models
A kernel method of estimating structured nonparametric regression based on marginal integration
Markov chain Monte Carlo model determination for hierarchical and graphical log-linear models
Stable and Efficient Multiple Smoothing Parameter Estimation for Generalized Additive Models
Efficient Empirical Bayes Variable Selection and Estimation in Linear Models
Estimation and variable selection for semiparametric additive partial linear models

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