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Published in 2017 at "Applied Psychological Measurement"
DOI: 10.1177/0146621616681130
Abstract: Dimensionality assessment is an important component of test validation. While the vast majority of statewide standardized tests contain both dichotomous and polytomous items, much of the work in dimensionality assessment has focused on the case…
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Keywords:
subtest selection;
covariance based;
selection;
conditional covariance ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14010158
Abstract: Estimation of a conditional covariance matrix is an interesting and important research topic in statistics and econometrics. However, modelling ultra-high dimensional dynamic (conditional) covariance structures is known to suffer from the curse of dimensionality or…
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Keywords:
covariance;
high dimensional;
garch model;
estimation ... See more keywords