Multiscale methods and statistics: a productive marriage

STATISTICA SINICA Call for submissions on MULTISCALE METHODS AND STATISTICS: A PRODUCTIVE MARRIAGE

Following the successful 5th Graybill Conference on "Multiscale Methods and Statistics: A Productive Marriage" organized by Department of Statistics, Colorado State University in June 2006, we are inviting submissions on the same theme for a special issue of Statistica Sinica. Submissions are NOT limited to papers presented at the conference. The goal of publishing this theme topic is to highlight the recent developments and advantages of employing both multiscale and statistical methods for solving various methodological, scientific and engineering problems.

Submissions preferably will provide either methodological or theoretical advances in the interface of multiscale methods and statistics, or demonstrate applications of such techniques in sciences and technologies. Priority will be given to papers that are assessed to be, statistically and scientifically speaking, most innovative, comprehensive, and reaching a wider readership.

Papers submitted to the special issue will be reviewed according to regular procedures similar to other submissions to the journal. Accepted papers will appear in a single issue of Statistica Sinica, scheduled for 2009. Please contact Professor Yazhen Wang or any of the special issue editors listed below for questions on the suitability of your paper(s). Submissions must be made online through the journal site at

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Please use the LaTeX article template, also available at the above site, for preparing your manuscript submission. The scheduled DEADLINE for submission is December 31, 2007. Authors wishing to receive e-mail alerts as the deadline approaches may contact the editorial assistant, Karen Li (e-mail: karen AT stat.sinica.edu.tw).

Special Issue Editors:

T. Tony Cai, U of Pennsylvania (tcai AT wharton.upenn.edu) Thomas Lee, The Chinese U of Hong Kong (tlee AT sta.cuhk.edu.hk) Yazhen Wang, U of Connecticut (yzwang AT stat.uconn.edu) Patrick J. Wolfe, Harvard U (patrick AT deas.harvard.edu)

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