Statistical science

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  Año 2011, Vol. 26, Número 3

  • Is Bayes Posterior just Quick and Dirty Confidence?

    Donald A. S. Fraser

    págs. 299-316

    

  • Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser

    Christian P. Robert

    págs. 317-318

    

  • Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser

    Kesar Singh, Minge Xie

    págs. 319-321

    

  • Frasian Inference

    Larry Wasserman

    págs. 322-325

    

  • Discussion of "Is Bayes Posterior just Quick and Dirty Confidence?" by D. A. S. Fraser

    Tong Zhang

    págs. 326-328

    

  • Rejoinder

    Donald A. S. Fraser

    págs. 329-331

    

  • Improving the Convergence Properties of the Data Augmentation Algorithm with an Application to Bayesian Mixture Modeling

    James P. Hobert, Vivekananda Roy, Christian P. Robert

    págs. 332-351

    

  • A Problem in Particle Physics and Its Bayesian Analysis

    Joshua Landon, Frank X. Lee, Nozer D. Singpurwalla

    págs. 352-368

    

  • Covariance Estimation: The GLM and Regularization Perspectives

    Mohsen Pourahmadi

    págs. 369-387

    

  • Misspecifying the Shape of a Random Effects Distribution: Why Getting It Wrong May Not Matter

    Charles E. McCulloch, John M. Neuhaus

    págs. 388-402

    

  • On Instrumental Variables Estimation of Causal Odds Ratios

    Stijn Vansteelandt, Jack Bowden, Manoochehr Babanezhad, E. Goetghebeur

    págs. 403-422

    

  • Weak Informativity and the Information in One Prior Relative to Another

    Michael Evans, Gun Ho Jang

    págs. 423-439

    

  • A Conversation with David R. Brillinger

    Victor M. Panaretos

    págs. 440-469