Pages that link to "Item:Q974518"
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The following pages link to Asymptotic properties of the EPMC for modified linear discriminant analysis when sample size and dimension are both large (Q974518):
Displaying 9 items.
- A modified linear discriminant analysis for high-dimensional data (Q455024) (← links)
- Asymptotic results in canonical discriminant analysis when the dimension is large compared to the sample size (Q947247) (← links)
- Error bounds for asymptotic approximations of the linear discriminant function when the sample sizes and dimensionality are large (Q1570286) (← links)
- On the dimension effect of regularized linear discriminant analysis (Q1786573) (← links)
- Asymptotic expansion and estimation of EPMC for linear classification rules in high dimension (Q1941462) (← links)
- EPMC estimation in discriminant analysis when the dimension and sample sizes are large (Q2357389) (← links)
- The Asymptotic Approximation of EPMC for Linear Discriminant Rules Using a Moore-Penrose Inverse Matrix in High Dimension (Q2862312) (← links)
- Covariance structure approximation via gLasso in high-dimensional supervised classification (Q3168288) (← links)
- Asymptotic aproximations for EPMC’s of the linear and the quadratic discriminant functions when the sample sizes and the dimension are large (Q4258898) (← links)