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Spike and slab Bayesian sparse principal component analysis
Sparse principal component analysis (SPCA) is a popular tool for dimensionality reduction
in high-dimensional data. However, there is still a lack of theoretically justified Bayesian …
in high-dimensional data. However, there is still a lack of theoretically justified Bayesian …
Algebraic sparse factor analysis
Factor analysis is a statistical technique that explains correlations among observed random
variables with the help of a smaller number of unobserved factors. In traditional full factor …
variables with the help of a smaller number of unobserved factors. In traditional full factor …
[PDF][PDF] Spike and slab Bayesian sparse principal component analysis
YCN Bo, N Ning - researchgate.net
Sparse principal component analysis (SPCA) is a popular tool for dimensionality reduction
in high-dimensional data. However, there is still a lack of theoretically justified Bayesian …
in high-dimensional data. However, there is still a lack of theoretically justified Bayesian …