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

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CRAMP

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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Ceremony

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

precede

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

Spinal-Fusion

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

Spinal-Fusion

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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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