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Titlebook: Advanced Studies in Behaviormetrics and Data Science; Essays in Honor of A Tadashi Imaizumi,Atsuho Nakayama,Satoru Yokoyama Book 2020 The E

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M. Hasan Toper,Sulen Sarioglu,Alena Skálovátion we use the Petersen graph—because of its transitivity and its large, but not too large automorphism group—as a show piece for invariant partition comparison measures. We show that we can decompose distances between partitions of the Petersen graph in an (invariant) structural part and a (variab
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https://doi.org/10.1007/978-94-007-7678-4science. In this paper, we first review the multiple regression analysis from the viewpoint of data science, and explore the future image of it with emphasis on statistical causal inference. In particular, we focus on the variable selection procedure and discuss it in detail with a numerical example
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Advanced Glycation End Products in Diabetese of seriation and matrix reordering methods to find insights from asymmetric one-mode two-way datasets. This article addresses the following research questions: How to use seriation and matrix methods with asymmetric one-mode two-way matrices? What insights and patterns can be found from asymmetric
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Disease Modification in Crohn’s Diseasethe categories are successive or not. In this paper, a scaling method is considered for successive categories that are regarded as a series of boxes (intervals) or numbers defined on a line scale. By using this method, each category is represented as a region not as a point under the assumptions tha
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