Pages that link to "Item:Q5378155"

The following pages link to On Estimation of the Noise Variance in High Dimensional Probabilistic Principal Component Analysis (Q5378155):

Displaying 18 items.

• A simultaneous test of mean vector and covariance matrix in high-dimensional settings (Q830690) (← links)
• A supplement on CLT for LSS under a large dimensional generalized spiked covariance model (Q1642248) (← links)
• On two-sample mean tests under spiked covariances (Q1661347) (← links)
• Bayesian variable selection for globally sparse probabilistic PCA (Q1786585) (← links)
• Applications on linear spectral statistics of high-dimensional sample covariance matrix with divergent spectrum (Q2101405) (← links)
• A high-dimensional test on linear hypothesis of means under a low-dimensional factor model (Q2142461) (← links)
• Variance variation criterion and consistency in estimating the number of significant signals of high-dimensional PCA (Q2155641) (← links)
• Sparse equisigned PCA: algorithms and performance bounds in the noisy rank-1 setting (Q2286372) (← links)
• Hypothesis tests for principal component analysis when variables are standardized (Q2419845) (← links)
• High dimensional matrix estimation with unknown variance of the noise (Q2960507) (← links)
• (Q4969179) (← links)
• Order Determination for Spiked Type Models (Q5089462) (← links)
• (Q5159467) (← links)
• Wald Statistics in high-dimensional PCA (Q5881043) (← links)
• Exploring dimension learning via a penalized probabilistic principal component analysis (Q5887975) (← links)
• A Universal Test on Spikes in a High-Dimensional Generalized Spiked Model and Its Applications (Q6069893) (← links)
• Order determination for spiked-type models with a divergent number of spikes (Q6168911) (← links)
• Testing General Linear Hypotheses Under a High-Dimensional Multivariate Regression Model with Spiked Noise Covariance (Q6651383) (← links)