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    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
    13 years 5 months ago
    Bayesian Inference on Principal Component Analysis Using Reversible Jump Markov Chain Monte Carlo
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    Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
    Zhihua Zhang, Kap Luk Chan, James T. Kwok, Dit-Yan...
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