International Society for Bayesian Analysis

A new issue of the new electronic journal BAYESIAN ANALYSIS has been
published at http://ba.stat.cmu.edu.

This issue of BA features a close look at support vector machines from
a statistical perspective, with new techniques for computation, by
Nicholas Polson and Steven Scott. Use of latent variables provides
a familiar framework for both interpretation and computation.
Additional interpretation and perspective appears in discussions by
Bani Mallick, Sounak Chakraborty, and Malay Ghosh; by Babak Shahbaba,
Yaming Yu, and David van Dyk; and by Chris Hans.

This issue also contains other fine articles in nonparametrics,
functional data analysis, and computational methods.

We hope you will enjoy the issue, and as always we welcome your submissions at

http://ba.stat.cmu.edu/submit/

The March 2011 issue includes the following articles:

2011, Volume 06, Number 01, pp. 1--178

o Data Augmentation for Support Vector Machines, by Nicholas
G. Polson and Steven L. Scott, pp. 1 - 24, posted online
2010-11-08, DOI:10.1214/11-BA601

+ Comment on Article by Polson and Scott, by Bani
K. Mallick, Sounak Chakraborty and Malay Ghosh, pp. 25
- 30, posted online 2011-02-27, DOI:10.1214/11-BA601A

+ Comment on Article by Polson and Scott, by Babak
Shahbaba, Yaming Yu and David A. van Dyk, pp. 31 - 36,
posted online 2011-02-27, DOI:10.1214/11-BA601B

+ Comment on Article by Polson and Scott, by Chris
Hans, pp. 37 - 42, posted online 2011-02-27,
DOI:10.1214/11-BA601C

+ Rejoinder, by Nicholas G. Polson and Steven
L. Scott, pp. 43 - 48, posted online 2011-02-27,
DOI:10.1214/11-BA601REJ

o Likelihood-free estimation of model evidence, by Xavier
Didelot, Richard G. Everitt, Adam M. Johansen and Daniel
J. Lawson, pp. 49 - 76, posted online 2011-02-02,
DOI:10.1214/11-BA602

o Reduced rank regression models with latent variables in
Bayesian functional data analysis, by Angelika van der
Linde, pp. 77 - 126, posted online 2011-02-27,
DOI:10.1214/11-BA603

o Bayesian nonparametric model for clustering individual
co-exposure to pesticides found in the French diet, by
Amelie Crepet and Jessica Tressou, pp. 127 - 144, posted
online 2011-02-25, DOI:10.1214/11-BA604

o Nonparametric Bayesian models through probit
stick-breaking processes, by Abel Rodriguez and David
B. Dunson, pp. 145 - 178, posted online 2011-01-04,
DOI:10.1214/11-BA605

The journal is sponsored by the International Society for Bayesian
Analysis (ISBA). Its editors are Ming-Hui Chen, Kate Cowles, David
Dunson, David Heckerman, Antonietta Mira, Sonia Petrone, Bruno Sanso,
Mark Steel, and Kert Viele. Herbie Lee is serving as Editor-in-Chief,
Alyson Wilson is Managing Editor, Angelika van der Linde is Production
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.