Generalized Principal Component Analysis: Projection of Saturated Model Parameters
From MaRDI portal
Publication:6636567
DOI10.1080/00401706.2019.1668854MaRDI QIDQ6636567
Andrew J. Landgraf, Yoonkyung Lee
Publication date: 12 November 2024
Published in: Technometrics (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
- A feasible method for optimization with orthogonality constraints
- Sparse logistic principal components analysis for binary data
- Selecting the number of principal components: estimation of the true rank of a noisy matrix
- On lines and planes of closest fit to systems of points in space.
- \(e\)PCA: high dimensional exponential family PCA
- The complexity of the matrix eigenproblem
- Generalized low rank models
- Reducing the Dimensionality of Data with Neural Networks
- Probabilistic Principal Component Analysis
- Learning the parts of objects by non-negative matrix factorization
- Statistical significance of the Netflix challenge
Related Items (1)
This page was built for publication: Generalized Principal Component Analysis: Projection of Saturated Model Parameters
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6636567)