Call for papers:
CSDA Special Issue on MODEL SELECTION and ROBUST PROCEDURES

Guest Editors:
C. Gatu, S. Van Aelst, R.E. Welsch, R.H. Zamar

We are inviting submissions for a special issue of Computational Statistics and Data Analysis focusing on Model Selection and Robust Procedures.

In empirical research we are nowadays often confronted with a wealth of variables. This leads to more complex data structures which poses some challenges. Specifically, a range of different models can be considered and an optimal model needs to be selected from a set of candidate models. Furthermore, when more variables are recorded, it becomes more likely that not all of these variables are measured with high accuracy. This may result in uneven quality data containing gross errors and other anomalies that need to be taken into account.

This special issue will focus mainly on the following two challenges: (a) model selection strategies, methodology and applications, and (b) Computationally efficient, robust procedures to analyze complex data sets. Submissions on the cross section of model selection and robustness will be especially appealing.

The deadline for submissions is 30th November, 2008. Notification of decisions will be given by the end of March, 2009. All submissions must contain original unpublished work not being considered for publication elsewhere. Submissions will be refereed according to standard procedures for Computational Statistics and Data Analysis. Information about the journal can be found at http://www.elsevier.com/locate/csda

Please submit your paper electronically using the Elsevier Editorial System: http://ees.elsevier.com/csda (select the special issue on "Model Selection and Robust Procedures"). All submissions must be double spaced or they will be returned immediately for revision.

The special issue editors:

Cristian Gatu
VTT Technical Research Centre, Finland and University of Iasi, Romania
E-mail: cristian.gatu@unine.ch

Stefan Van Aelst
Ghent University, Belgium
E-mail: Stefan.VanAelst@UGent.be

Roy E. Welsch
Sloan School of Management and Engineering Systems Division
Massachusetts Institute of Technology, USA
E-mail: rwelsch@MIT.EDU

Ruben H. Zamar
University of British Columbia, Canada
E-mail: ruben@stat.ubc.ca