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Choosing the number of factors in factor analysis with incomplete data via a hierarchical Bayesian information criterion
The Bayesian information criterion (BIC), defined as the observed data log likelihood minus a penalty term based on the sample size $N$, is a popular model selection criterion for factor analysis with complete data.
Regularized Bilinear Discriminant Analysis for Multivariate Time Series Data
To address the two problems, we propose RBLDA for MTS data classification, where each of the two within-class matrices is regularized via one parameter.
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