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Titlebook: Computational Aspects of Model Choice; Jaromír Antoch Conference proceedings 1993 Physica-Verlag Heidelberg 1993 Hypothese.Statistical Com

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书目名称Computational Aspects of Model Choice
编辑Jaromír Antoch
视频videohttp://file.papertrans.cn/233/232119/232119.mp4
丛书名称Contributions to Statistics
图书封面Titlebook: Computational Aspects of Model Choice;  Jaromír Antoch Conference proceedings 1993 Physica-Verlag Heidelberg 1993 Hypothese.Statistical Com
描述Although no-one is, probably, too enthused about the idea, it is a fact that the development of most empirical sciences to a great extend depends of the development of data analysis methods and techniques, which, due to the necessity of applications of computers for that pur­ pose, actually means that it practically depends on the advancements and orientation of computational statistics. This volume contains complete texts of the lectures held during the Summer School on "Computational Aspects of Model Choice" orga­ nized jointly by Charles University, Prague, and International Associa­ tion for Statistical Computing (IASC) on July 1-14, 1991, in Prague. Main aims of the Summer School were to review and analyse some of the recent developments concerning computational aspects of the model choice as well as their theoretical background. The topics covers the problems of the change point detection, robust estimation and its computational aspects, classification using binary trees, stochastic ap­ proximation and optimization including the discussion about available software, computational aspects of graphical model selection and mul­ tiple hypotheses testing. The bridge between these d
出版日期Conference proceedings 1993
关键词Hypothese; Statistical Computing; Stochastic Approximation; optimization; stochastic optimization
版次1
doihttps://doi.org/10.1007/978-3-642-99766-2
isbn_softcover978-3-7908-0652-6
isbn_ebook978-3-642-99766-2Series ISSN 1431-1968 Series E-ISSN 2628-8966
issn_series 1431-1968
copyrightPhysica-Verlag Heidelberg 1993
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Bernd Streitberg,t his favorite city was Berlin, where he had lived most of the time since he was a student. His early academic career was marked by the 1968 students’ movement, which greatly influenced life in Berlin and which he enthusiastically supported. Since he was studying at the Institute of Sociology of the
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Constructing Prediction Trees from Data: The RECPAM Approach,ured prediction model is proposed and a strategy for building such a model from the data is presented.The strategy comprises three steps:.hence its acronym RECPAM. The construction is based on an information measure, the role of which is highlighted. It is shown that virtually all the available tree
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Comparison of the Stochastic Approximation Software,igradient software SQG-PC and Stochastic nonlinear problem software SNLP are compared. In the last section problems of possible ‘outliers’ in the optimization problems are considered and their influence to the behavior of recursive process. Some hints are given how to overcome this outlier difficult
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Some Computational Aspects of Graphical Model Selection,5, 1987) — are described and compared. Some emphasis is given to specific non — numerical computational aspects: in particular, an efficient algorithm for the dual representation problem is described. The model selection methods are applied to a contingency table concerning risk factors for coronary
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Statistical Applications of Artificial Intelligence, open new areas of research to statisticians. Experimental systems designed to assist users of statistics have been constructed in experiment design, data analysis technique application, and technique selection. Knowledge formalization has also been used in experimental programs to assist statistici
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https://doi.org/10.1007/978-3-642-99766-2Hypothese; Statistical Computing; Stochastic Approximation; optimization; stochastic optimization
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