Estimating the number of signals using principal component analysis
From MaRDI portal
Publication:6541504
DOI10.1002/sta4.231WikidataQ109772892 ScholiaQ109772892MaRDI QIDQ6541504
Publication date: 19 May 2024
Published in: (Search for Journal in Brave)
Cites Work
- Title not available (Why is that?)
- Fourth moments and independent component analysis
- Selecting the number of principal components: estimation of the true rank of a noisy matrix
- On Wielandt's inequality and its application to the asymptotic distribution of the eigenvalues of a random symmetric matrix
- Principal component analysis.
- TESTS OF SIGNIFICANCE FOR THE LATENT ROOTS OF COVARIANCE AND CORRELATION MATRICES
- A cautionary note on robust covariance plug-in methods
- Probabilistic Principal Component Analysis
- Test of linear trend in eigenvalues of a covariance matrix with application to data analysis
- Combining eigenvalues and variation of eigenvectors for order determination
- Independent component analysis: a statistical perspective
Related Items (1)
This page was built for publication: Estimating the number of signals using principal component analysis
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6541504)