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Showing 1 to 2 of 2 for “"Factor analyzers"”.

  1. Bayesian Clustering Approaches for Discrete Data

    … mixtures of multivariate Poisson-log normal factor analyzers and mixtures of matrix-variate Poisson-log normal distributions. Significance, innovation, limitations and a number of future directions stemming from this research are discussed.

    guelph Repository record for Bayesian Clustering Approaches for Discrete Data (opens in a new tab)

  2. Bayesian and Information-Theoretic Learning of High Dimensional Data

    … for the response variable. In the sparse Factor Analysis for biomarker trajectories, the high dimensional gene expression data is reduced to a small number of latent factors, each with a prototypical dynamic trajectory. In the Bayesian Graphical LASSO, the inverse covariance matrix of the …

    duke Repository record for Bayesian and Information-Theoretic Learning of High Dimensional Data (opens in a new tab)