The fixed effects PCA model in a common principal component environment
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1765255
Abstract: Abstract This paper explores multivariate data using principal component analysis (PCA). Traditionally, two different approaches to PCA have been considered, an algebraic descriptive one and a probabilistic one. Here, a third type of PCA approach,… read more here.
Keywords: pca model; common principal; principal component; model ... See more keywords
Stepwise Covariance-Free Common Principal Components (CF-CPC) With an Application to Neuroscience
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2021.750290
Abstract: Finding the common principal component (CPC) for ultra-high dimensional data is a multivariate technique used to discover the latent structure of covariance matrices of shared variables measured in two or more k conditions. Common eigenvectors… read more here.
Keywords: common principal; neuroscience stepwise; covariance; stepwise covariance ... See more keywords