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The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional (UHD) setup is not well unders...
The na?ve Bayes approach is one of the most popular methods used for classi?cation. Nevertheless, how to test its statistical signi?cance under an ultra-high-dimensional(UHD) setup is not well underst...
In this paper we present a method to assess the significance of the correlation coefficient when at least one of the variables is spatially autocorrelated. The standard test assumes independence of th...
Clustering methods have led to a number of important discoveries in bioinformatics and beyond. A major challenge in their use is determining which clusters represent important underlying structure, as...
Assessing variability according to distinct factors in data is a fundamental technique of statistics. The method commonly regarded to as analysis of variance (ANOVA) is, however, typically confined to...
This paper focuses in its first part on the different types of German think tanks and their organizational ingredients by looking at issues such as think tank management, funding, staffing and strateg...
The Full Bayesian Signicance Test, FBST, is extensively reviewed. Its test statistic, a genuine Bayesian measure of evidence, is discussed in detail. Its behavior in some problems of statistical inf...
Authors from multiple disciplines have discussed the importance of personality attributes and the effect these attributes have on group experiences and the overlying impact of personality on organisat...
Among theories of macroeconomic fluctuations that accord a major role to money, at least three rivals confront each other nowadays. One is orthodox monetarism—4’themonetary disequilibrium hypothesis...
Introduction Overthe past generation the British disease of relatively low economic growth and low labor productivity, accompanied by relatively high inflation and unemployment, has become so obvio...

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