The 18th Conference of IASC-ERS, COMPSTAT'2008,is held in Porto,P- tugal,fromAugust24thtoAugust29th2008,locallyorganisedbytheFaculty of Economics of the University of Porto. COMPSTAT is an initiative of the European Regional Section of the Int- national Association for Statistical Computing (IASC-ERS), a section of the International Statistical Institute (ISI). COMPSTAT conferences started in 1974 in Wien; previous editions of COMPSTAT were held in Berlin (2002), Prague (2004) and Rome (2006). It is one of the most prestigious world conferences in Computational Statistics, regularly attracting hundreds of - searchers and practitioners, and has gained a reputation as an ideal forum for presenting top qualitytheoretical and applied work,promoting interdis- plinary researchand establishing contacts amongstresearcherswith common interests. COMPSTAT'2008 is the ?rst edition of COMPSTAT to be hosted by a Portuguese institution. Keynote lectures are addressed by Peter Hall (Department of Mathematics and Statistics, The University of Melbourne), Heikki Mannila (Department of Computer Science, Faculty of Science, University of Helsinki) and Timo Ter. asvirta (School of Economics and Management, University of Aarhus). The conference program includes two tutorials: "Computational Methods in Finance"byJamesGentle(DepartmentofComputationalandDataSciences, George Mason University) and "Writing R Packages" by Friedrich Leisch (Institut fur .. Statistik, Ludwig-Maximilians-Universit. at). Each COMPSTAT meeting is organised with a number of topics highlighted, which lead to - vited Sessions. The Conference program includes also contributed sessions in di?erent topics (both oral communications and posters).
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This volume presents recent methodological developments in Applied/Computational Statistics. A wide range of topics is covered including Advances on Statistical Computing Environments, Methods for Classification and Clustering, Computation for Graphical Models and Bayes Nets, Computational Econometrics, Computational Statistics and Data Mining, Statistics for Finance and Insurance, Information Retrieval for Text and Images, Knowledge Extraction by Models, Model Selection Algorithms, Models for Latent Class Detection, Multiple Testing Procedures, Random Search Algorithms, Robust Statistics and Signal Extraction and Filtering. Besides structural and theoretical results, the book presents a wide variety of applications in fields such as time-series analysis, econometrics, finance and insurance, biology, micro-array analysis, astronomy, text analysis and alcohol studies.The CD-ROM accompanying it also includes tutorial texts on Computational Finance and Writing R Packages.
Combining new methodological advances with a wide variety of real applications, this volume is specially valuable for researchers and practitioners, providing new analytical tools useful in theoretical research and daily practice in computational statistics and applied statistics in general."About this title" may belong to another edition of this title.
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