## Bayesian Statistics 7: Proceedings of the Seventh Valencia International MeetingThe Valencia International Meetings on Bayesian Statistics, held every four years, provide the main forum for researchers in the area of Bayesian Statistics to come together to present and discuss frontier developments in the field. The resulting Proceedings provide a definitive, up-to-date overview encompassing a wide range of theoretical and applied research. This seventh Proceedings containing 23 invited articles and 31 contributed papers is no exception, and will be an indispensable reference to all statisticians. |

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### Contents

Bayesian Inference for Elliptical | 3 |

Hierarchical Bayesian Models | 25 |

Hierarchical Multivariate CAR Models for Spatio | 45 |

On Inferring Effects of Binary Treatments with Unobserved Confounders | 65 |

Bayesian Treed Generalized | 85 |

Bayesian Harmonic Models for Musical Signal Analysis | 105 |

Assessing the Risk of Disclosure | 125 |

Bayesian and Frequentist Multiple Testing | 145 |

Measures of Incoherence | 385 |

A Nonparametric Bayesian | 403 |

A Novel Framework for Tracking Groups of Objects | 419 |

Bayesian Modelling | 443 |

Intrinsic Estimation | 465 |

A Relationship Between Randomized | 485 |

Bayesian Estimation of the Grade of Membership Model | 501 |

Multiscale | 519 |

Nonparametric Inference for Mixed | 163 |

Markov Chain Monte Carlobased | 181 |

A Hierarchical | 199 |

Rasch Models with Exchangeable Rows and Columns | 215 |

Discrimination Based on an Odds Ratio | 233 |

Bayesian Clustering | 249 |

IID Sampling using SelfAvoiding Population | 277 |

A Statistical | 293 |

NonCentered Parameterizations | 307 |

Identifying Mixtures of Regression Equations | 327 |

Global Gambling | 349 |

New Tools for Consistency in Bayesian Nonparametrics | 369 |

Dynamic LatticeMarkov SpadoTemporal | 535 |

Bayesian Analysis | 553 |

A Marginal Ergodic Theorem | 577 |

Compatible Priors for Causal Bayesian Networks | 597 |

Density Modelling and Clustering Using Dirichlet Diffusion Trees | 619 |

Bayesian Inference for Derivative Prices | 641 |

Objective Bayesian Comparison of Laplace | 661 |

Modelling Bivariate Extremes in a Region | 681 |

Expected Utility Estimation via CrossValidation | 701 |

A Method for Sequential | 711 |

Bayesian Factor Regression Models in the Large p Small n Paradigm | 733 |

### Common terms and phrases

A. F. M. Smith A. P. Dawid algorithm applications approximation assume assumption Bayes factor Bayesian analysis Bayesian approach Bayesian inference Bayesian model cancer chain Monte Carlo clustering components computational conditional distribution consider convergence corresponding covariance data points data set defined denote density dependence Dirichlet discussion dynamic equation estimation example expected utility Figure frequentist Gaussian genes Gibbs sampler given Heckerman hyperparameters hypo-convergence independent iterations J. M. Bernardo J. O. Berger J. R. Statist linear models marginal likelihood Markov chain Markov chain Monte matrix MCMC measure methods microarray mixture model multiset multivariate normal observed obtained optimal outliers paper parameterization parameters Poisson process posterior consistency posterior distribution posterior mean posterior probability predictive previsions prior distribution problem procedure proposed random variables regression models risk function sample Section simulation space spatial specific stochastic structure terminal nodes Theorem tree update values variance variational vector