Workshop Objectives:
(1) highlight and expand the breadth of existing methods in matrix analysis and their potential for the advance of both mathematical and statistical sciences;
(2) identify important directions for future research in the theory of High dimensional statistical analysis; Linear/multivariate models; Small area estimation (Survey sampling); Applications (signal processing, Bioinformatics); Sufficient dimension reduction; Matrices and computational statistics;
(3) facilitate collaboration between theoretical and subject-area researchers; and
(4) provide opportunities for highly qualified personnel (HQP) to interact with leading international researchers.
The topics that have been selected so far include estimation, prediction and testing in linear models; robustness of relevant statistical methods; estimation of variance components appearing in linear models; generalizations to nonlinear models; design and analysis of experiments, including optimality and comparison of linear experiments; and applications of matrix methods in statistics.
Journal of Statistical computation and simulation (JSCS).
Papers for the Special Issue must be submitted within three months of the conference. These papers must have [SPECIAL ISSUE: Matrix] appended to the title. The review process will be completed within nine months of the conference date. Please keeping in mind that a Special Issue is not a proceedings. Presenting a paper does not imply publication in a Special Issue. The deadline for the paper submission is January 15, 2014 Papers for the Special Issue must be submitted within three months of the conference At which time accepted papers will be sent to the publisher, moved to the top of the queue and published as soon as possible thereafter. Papers accepted after that date will be added to the queue.
Related Conferences
Joint Statistical Meetings, Montreal, 3-8 August 2013 http://www.amstat.org/meetings/jsm/2013/index.cfm
Mat-Triad, Herzeg-Novi, Montenegro, 16-20 September 2013 http://mattriad2013.pmf.uns.ac.rs/
LinStat-2014, Linkoping, Sweden, 24-28 August 2014 http://www.mai.liu.se/LinStat2014/
