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Call for Papers: Special Issue of the Brazilian Journal of Probability and Statistics

created 02  Feb  2012

We are pleased to announce a special issue of the Brazilian Journal of Probability and Statistics. The issue is to be titled Innovative Methodology in Modern Applications. The idea is to present original contributed work and specially invited papers from leading researchers on statistical methodology developed for modern areas of application. The guest editors are Pranab Kumar Sen (UNC at Chapel Hill), Pedro A. Morettin (University of São Paulo), Gisela Tunes da Silva (University of São Paulo) and Aluísio Pinheiro (University of Campinas).

High dimensional data models are especially prominent in modern applications in interdisciplinary research. The targeted areas include: time series models in functional domain, multivariate methods, especially in interdisciplinary research, resampling plans and data mining for nonstandard data models, bioinformatics and environmetric problems, and other contemporary problems arising in modern applications. Such high-dimensional data models are also prevalent in educational statistics and sample-survey models(multi-objective studies).

Manuscripts should be submitted on-line to the Brazilian Journal of Probability and Statistics via http://imstat.org/bjps/mansub.html no later than April 30, 2013. Please make sure to choose Special issue as Manuscript Type. The submission should contain a cover letter indicating that the manuscript is being submitted to the Innovative Methodology in Modern Applications issue. A review and revision process will follow. Accepted manuscripts should be revised no later than June 30, 2013. Upon final acceptance papers will be available on-line. Authors should follow the instructions available at http://imstat.org/bjps/mansub.html for manuscript preparation formatting and reviewing standards. For expedient publication of accepted papers the use of the template found at http://www.epublications. org/ims/support/bjps-instructions.html is highly recommended.

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