[Prévia] [Próxima] [Prévia por assunto] [Próxima por assunto]
[Índice cronológico] [Índice de assunto]

Bayesian Analysis - June 2009




-----
2009, Volume 04, Number 02, pp. 191--412

This issue of Bayesian Analysis features a discussion paper by Guosheng Yin of the MD Anderson Cancer Center, whose Division of Quantitative Sciences has long been recognized as a preeminent center of Bayesian research, both in theory and biomedical applications. Dr. Yin develops a Bayesian generalized method of moments (GMM) method, intended to rival the very popular generalized estimating equations (GEE) methods in situations where exact likelihood calculations are difficult. The GMM approach is critically evaluated both in the paper and in the accompanying discussions by Drs. Ming-Hui Chen and Sungduk Kim of the University of Connecticut, and Dr. Ciprian
Crainiceanu of Johns Hopkins University.

The June 2009 issue includes the following articles:

* Bayesian Generalized Method of Moments, by Guosheng Yin, pp. 191 - 208, posted online 2009-01-10, DOI:10.1214/09-BA407 o Comments on Article by Yin, by Ming-Hui Chen and Sungduk Kim, pp. 209 - 212, posted online 2009-05-26,
    DOI:10.1214/09-BA407A
o Comments on Article by Yin, by Ciprian M. Crainiceanu, pp. 213 - 216, posted online 2009-05-26, DOI:10.1214/09-BA407B o Rejoinder, by Guosheng Yin, pp. 217 - 222, posted online
    2009-05-26, DOI:10.1214/09-BA407REJ

* Some Bayesian Credibility Premiums Obtained by Using Posterior Regret Gamma-Minimax Methodology, by E. Gomez-Deniz, pp. 223 - 242, posted online 2009-03-06, DOI:10.1214/09-BA408

* Modal Clustering in a Class of Product Partition Models, by David B. Dahl, pp. 243 - 264, posted online 2009-03-20,
    DOI:10.1214/09-BA409

* A grade of membership model for rank data, by Isobel C. Gormley and Thomas B. Murphy, pp. 265 - 296, posted online 2009-03-20,
    DOI:10.1214/09-BA410

* Spatial Mixture Modelling for Unobserved Point Processes: Examples in Immunofluorescence Histology, by Chunlin Ji, Daniel Merl, Thomas B. Kepler and Mike West, pp. 297 - 316, posted online
    2009-04-20, DOI:10.1214/09-BA411

* ABC likelihood-free methods for model choice in Gibbs random fields, by A. Grelaud, C. P. Robert, J-M Marin, F. Rodolphe and J-F Taly, pp. 317 - 336, posted online 2009-04-17,
    DOI:10.1214/09-BA412

* Inference in incidence, infection, and impact: Co-infection of multiple hosts by multiple pathogens, by James S. Clark and Michelle H. Hersh, pp. 337 - 366, posted online 2009-05-05,
    DOI:10.1214/09-BA413

* Improved Criteria for Clustering Based on the Posterior Similarity Matrix, by Arno Fritsch and Katja Ickstadt, pp. 367 - 392, posted online 2009-05-18, DOI:10.1214/09-BA414

* A Dynamic Modelling Strategy for Bayesian Computer Model Emulation, by Fei Liu and Mike West, pp. 393 - 412, posted online
    2009-03-12, DOI:10.1214/09-BA415

********************************

The journal is sponsored by the International Society for Bayesian Analysis (ISBA). Its editors are Kate Cowles, Philip Dawid, David Dunson, David Heckerman, Michael Jordan, Antonietta Mira, and Fabrizio Ruggeri. Brad Carlin is serving as Editor-in-Chief, Herbie Lee is Managing Editor, Angelika van der Linde is Production Editor, Marina Vanucci is Deputy Editor, and Pantelis Vlachos is System Managing Editor.

Bayesian Analysis seeks to publish a wide range of articles that demonstrate or discuss Bayesian methods in some theoretical or applied context. The journal welcomes submissions involving presentation of new computational and statistical methods; reviews, criticism, and discussion of existing approaches; historical perspectives; description of important scientific or policy application areas; case studies; and methods for experimental design, data collection, data sharing, or data mining. Evaluation of submissions is based on importance of content
and effectiveness of communication.
--


Heidi Rhodes Sestrich
Administrative Coordinator/
Document Production Specialist
Department of Statistics
Baker Hall 232A
Carnegie Mellon University
Pittsburgh, PA 15213
412-268-2718