CALL FOR PAPERS
COMPUTATIONAL STATISTICS & DATA ANALYSIS
4th CSDA Special Issue on 
MATRIX COMPUTATIONS AND STATISTICS
http://www.elsevier.com/locate/csda


We are inviting submissions for the 4th special issue of Computational
Statistics and Data Analysis dealing with Matrix Computations and
Statistics.

A number of interesting and important ideas have resulted from the
relationship between matrix computations and statistics. Well known
examples include the solution of least squares problems, computation
of the singular value decomposition and its generalizations, tensor
computations estimation of principal components, computation of
canonical correlations, several cluster analysis algorithms, and the
solution of total least squares problems. Applications of matrix
computations and statistics in data mining, text mining, dimension
reduction/feature extraction and machine learning are welcome.

CSDA has published a series of issues in Matrix Computations and
Statistics (41(1), 50(1), 54(12)), which can be found at:
http://www.sciencedirect.com/science/journal/01679473

Submissions for the 4th special issue should contain both a matrix
computations and a statistics component. Authors who are uncertain
about the suitability of their papers should contact the special issue
editors. All submissions must contain original unpublished work not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.

The deadline for submissions is 30 August 2024. However, papers can
be submitted at any time; and, when they have been received, they will
enter the editorial system immediately.

Papers for the special issue should be submitted using the Elsevier
Electronic Submission tool EM: https://www.editorialmanager.com/csda/.
In the EM, please choose the special issue "Matrix Computations and
Statistics" and the Co-Editor responsible for the special issues.


The special issue editors:

Xiao-Wen Chang, McGill University, Canada
Email:  chang@cs.mcgill.ca

Cristian Gatu, Alexandru Ioan Cuza University of Iasi, Romania
E-mail: cristian.gatu@uaic.ro

Erricos John kontoghiorghes, Cyprus University of Technology and
Birkbeck University of London, UK
E-mail: erricos.kontoghiorghes@gmail.com