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Conditional Density Estimation via Weighted Logistic Regressions
Compared to the conditional mean as a simple point estimator, the conditional density function is more informative to describe the distributions with multi-modality, asymmetry or heteroskedasticity.
On Robust Probabilistic Principal Component Analysis using Multivariate $t$-Distributions
Probabilistic principal component analysis (PPCA) is a probabilistic reformulation of principal component analysis (PCA), under the framework of a Gaussian latent variable model.
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