Pages that link to "Item:Q970703"
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The following pages link to Bayesian estimation of the number of principal components (Q970703):
Displaying 14 items.
- Automatic dimensionality selection from the scree plot via the use of profile likelihood (Q1010434) (← links)
- On Bayesian principal component analysis (Q1020065) (← links)
- On the number of principal components: a test of dimensionality based on measurements of similarity between matrices (Q1023553) (← links)
- Asymptotic bootstrap corrections of AIC for linear regression models (Q1048800) (← links)
- Identifying the informational/signal dimension in principal component analysis (Q1634747) (← links)
- Bayesian estimation of principal components for functional data (Q1699656) (← links)
- Bayesian variable selection for globally sparse probabilistic PCA (Q1786585) (← links)
- A comparative investigation on subspace dimension determination (Q2485228) (← links)
- Bayesian principal component analysis with mixture priors (Q2511577) (← links)
- (Q2939138) (← links)
- Detecting the Dimensionality for Principal Components Model (Q3589989) (← links)
- Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection (Q3625321) (← links)
- On Estimation of the Noise Variance in High Dimensional Probabilistic Principal Component Analysis (Q5378155) (← links)
- Prewhitening High-Dimensional fMRI Data Sets Without Eigendecomposition (Q5378349) (← links)
