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Computational Statistics & Data Analysis
 
 

Computational Statistics & Data Analysis

The Official Journal of the International Association for Statistical Computing (IASC)

 
 

Journal

 1.151(2013)

1.449

Co-Editors:E.J. Kontoghiorghes

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01679473

81-92

12

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Aims & Scope

Computational Statistics & Data Analysis (CSDA), the official journal of the International Association of Statistical Computing (IASC), is an international journal dedicated to the dissemination of methodological research and applications in the areas of computational statistics and data analysis. The journal consists of three refereed sections, and a fourth section dedicated to news on statistical computing. The refereed sections are divided into the following subject areas:

I) Computational Statistics - Manuscripts dealing with: 1) the explicit impact of computers on statistical methodology (e.g., Bayesian computing, bioinformatics, computational econometrics, computer graphics, computer intensive inferential methods, data exploration, data mining, expert systems, heuristics, knowledge based systems, machine learning, neural networks, numerical and optimization methods, parallel computing, statistical databases, statistical systems), and 2) the development, evaluation and validation of statistical software and algorithms. Software and algorithms can be submitted with manuscripts and will be stored together with the online article.

II) Statistical Methodology for Data Analysis - Manuscripts dealing with novel and original data analytical strategies and methodologies applied in biostatistics (design and analytic methods for clinical trials, epidemiological studies, statistical genetics, or genetic/environmental interactions), chemometrics, classification, data exploration, density estimation, design of experiments, econometrics, environmetrics, education, image analysis, marketing, model free data exploration, pattern recognition, psychometrics, statistical physics, image processing, robust procedures.

Statistical methodology includes, but not limited to: bootstrapping, classification techniques, clinical trials, data exploration, density estimation, design of experiments, pattern recognition/image analysis, parametric and nonparametric methods, statistical genetics, Bayesian modeling, outlier detection, robust procedures, cross-validation, functional data, fuzzy statistical analysis, mixture models, model selection and assessment, nonlinear models, partial least squares, latent variable models, structural equation models, supervised learning, signal extraction and filtering, time-series modelling, longitudinal analysis, multilevel analysis and quality control.

III) Special Applications - Manuscripts at the interface of statistics and computing (e.g., comparison of statistical methodologies, computer-assisted instruction for statistics, simulation experiments). Advanced statistical analysis with real applications (economics, social sciences, marketing, psychometrics, chemometrics, signal processing, finance, medical statistics, environmentrics, statistical physics).

Audience

Statisticians (university, government, business, industry), Statistical Software users.

Abstracting and Indexing

ACM Computing Reviews, CompuMath Citation Index, Current Index to Statistics, Engineering Index, INSPEC, Mathematical Reviews, OR/MS, QCAS, Research Alert, Science Citation Index, Science Citation Index Expanded, Scopus, Statistical Theory and Method Abstracts, Zentralblatt MATH
Co-Editors-in-Chief: E.J. Kontoghiorghes Fac. of Management and Economics, Cyprus University of Technology, P.O. Box 50329, 3603 Limassol, Cyprus and School of Economics and Finance; Queen Mary, University of London, 327 Mile End Road, London E1 4NS, UK , J.C. Lee Dept. of Statistics, Korea University, 5-1 Anam-dong, Sungbuk-ku, 136-701 Seoul, South Korea, Advisory Board: A.C. Atkinson London School of Economics, London, UK, S.P. Azen University of Southern California (USC), Los Angeles, CA, USA, D.A. Belsley Boston College, Chestnut Hill, MA, USA, L. Edler Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany, M. Gilli Université de Genève, Geneva, Switzerland, A. Harvey University of Cambridge, Cambridge, UK, K. Kafadar Indiana University at Bloomington, Bloomington, IN, USA, P. Naeve Universität Bielefeld, Bielefeld, Germany, J.C. Niland City of Hope, Duarte, CA, USA, Y. Tanaka Okayama University, Okayama, Japan, H.K. van Dijk Erasmus Universiteit Rotterdam, Rotterdam, Netherlands, Associate Editors: S.E. Ahmed University of Windsor, Windsor, ON, Canada, A. Amendola Università degli Studi di Salerno, Fisciano (SA), Italy, S. Basu Northern Illinois University, DeKalb, IL, USA, D.A. Böhning University of Southampton, Southampton, England, UK, E. Ceyhan Koc University, Sariyer, Istanbul, Turkey, C-H. Chen Academia Sinica, Taipei, Taiwan, ROC, C.W.S. Chen Feng Chia University, Taichung, Taiwan, ROC, A.M. Colubi Universidad de Oviedo, Oviedo, Spain, I. Dewan Indian Statistical Institute, New Delhi, India, A.N. Donev University of Manchester, Manchester, England, UK, P. Duchesne Université de Montréal, Montreal, QC, Canada, V. Esposito Vinzi ESSEC Business School, Cergy-Pontoise, France, P. Filzmoser Technische Universität Wien, Wien, Austria, K. Fokianos University of Cyprus, Nicosia, Cyprus, C. Francq Université Charles de Gaulle Lille III, Villeneuve d'Ascq, France, R. Fried Technische Universität Dortmund, Dortmund, Germany, C. Gatu Alexandru I. Cuza University of Iasi, Iasi, Romania, Z. Geng Peking University, Beijing, China, M.A. Gil Universidad de Oviedo, Oviedo, Spain, G. Givens Colorado State University, Fort Collins, CO, USA, C.M. Hans Ohio State University, Columbus, OH, USA, C. Hennig University College London (UCL), London, UK, J. Hinde National University of Ireland, Galway, Galway, Ireland, D. Lee University of Canterbury, Christchurch, New Zealand, J.-J. Lee Soong Sil University, Dongjak-Gu, Seoul, South Korea, J.-W. Lee Korea University, Seongbuk-Gu, Seoul, South Korea, V. Leiva Universidad de Valparaiso, Valparaíso, Chile, N. Lin Washington University in St. Louis, St. Louis, MO, USA, P. McNicholas University of Guelph, Guelph, ON, Canada, S.G. Meintanis National and Kapodistrian University of Athens, Athens, Greece, M. Mittlböck Medizinische Universität Wien, Wien, Austria, D. Morales Universidad Miguel Hernández de Elche, Elche, Spain, I. Moustaki London School of Economics, London, UK, Y. Omori University of Tokyo, Tokyo, Japan, R. Paap Erasmus Universiteit Rotterdam, Rotterdam, Netherlands, M. Paolella Universität Zürich, Zürich, Switzerland, M.C. Pardo Complutense University of Madrid, Madrid, Spain, G.A. Paula Universidade de São Paulo (USP), São Paulo, Brazil, D.S.G. Pollock Queen Mary, University of London (QMUL), London, UK, S. Portnoy University of Illinois at Urbana-Champaign, Champaign, IL, USA, R. Prado University of California Santa Cruz, Santa Cruz, CA, USA, T. Proietti Università di Roma "Tor Vergata", Roma, Italy, I. Pruenster Università di Torino, Torino, Italy, M. Salibian-Barrera University of British Columbia, Vancouver, BC, Canada, A. Sen University of Michigan, Ann Arbor, MI, USA, D. Tao Nanyang Technological University, Singapore, Singapore, M.D. Ugarte Universidad Pública de Navarra, Pamplona, Spain, S. Van Aelst Universiteit Gent, Gent, Belgium, P. Vieu Université Paul Sabatier (Toulouse), Toulouse, Cedex 9, France, S. G. Walker University of Kent, Canterbury, UK
MCMC, Bayes Nonparametrics, Hierarchical Bayes, Bayes model choice, J. Whittaker Lancaster University, Lancaster, UK, R. Wilcox University of Southern California (USC), Los Angeles, CA, USA, P. Winker Justus-Liebig-Universität Gießen, Giessen, Germany, M. Xie National University of Singapore (NUS), Singapo
 
 
 
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MCMC, Bayes Nonparametrics, Hierarchical Bayes, Bayes model choice, J. Whittaker Lancaster University, Lancaster, UK, R. Wilcox University of Southern California (USC), Los Angeles, CA, USA, P. Winker Justus-Liebig-Universität Gießen, Giessen, Germany, M. Xie National University of Singapore (NUS), Singap">