## Proceedings of the Section on Bayesian Statistical Science |

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### Contents

Bayesian Methods | 1 |

Discussion Dalene K Stangl | 7 |

A Bayesian Approach to Model Selection in Spline Nonparametric Regression | 16 |

Copyright | |

24 other sections not shown

### Common terms and phrases

applied assessment assume asymptotic attribute Bayes estimator Bayes factor Bayesian analysis Bayesian approach Bayesian model Berger best population bution calculate CM algorithm computational conditional distributions consider convergence correlation corresponding covariates credible interval criterion defined denote dependence Dirichlet Dirichlet distribution discussion distri effect entropy error evaluate example Figure forecast frequentist fuzzy fuzzy-set Gelfand Gibbs sampler given groups independent inference intervals iterations latent class latent variables likelihood function linear model logistic loss function marginal marginal likelihood Markov chain matrix MDIP measure median mixture models model selection multinomial multivariate nonparametric observations obtained optimal outcome parameters patients posterior density posterior distribution posterior mean posterior probability predictive distribution prior density prior distribution prior information problem procedure rameter random variable reference prior regression risk sample sizes scale Section simulation standard deviation stochastic Table theorem three-bin tion training sample unimodal univariate values variance vector