MTPCA performs sparse PCA on mixed-type data by linking exponential family parameters to shared Gaussian latents and estimating the latent covariance matrix via method of moments.
A method for sparse and robust independent component analysis
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Model-based sparse mixed-type PCA
MTPCA performs sparse PCA on mixed-type data by linking exponential family parameters to shared Gaussian latents and estimating the latent covariance matrix via method of moments.