Pages that link to "Item:Q5850946"
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The following pages link to Shrinkage‐based Diagonal Discriminant Analysis and Its Applications in High‐Dimensional Data (Q5850946):
Displaying 16 items.
- A method for generating realistic correlation matrices (Q386759) (← links)
- James-Stein type estimators of variances (Q413774) (← links)
- Shrinkage-based diagonal Hotelling's tests for high-dimensional small sample size data (Q900797) (← links)
- Shrinkage-based regularization tests for high-dimensional data with application to gene set analysis (Q901617) (← links)
- High-dimensional pseudo-logistic regression and classification with applications to gene expression data (Q1020833) (← links)
- Robust centroid based classification with minimum error rates for high dimension, low sample size data (Q1021991) (← links)
- Stein's method in high dimensional classification and applications (Q1623745) (← links)
- Generalized quadratic discriminant analysis (Q1669596) (← links)
- Clustering by principal component analysis with Gaussian kernel in high-dimension, low-sample-size settings (Q2048123) (← links)
- Open-Set Nearest Shrunken Centroid Classification (Q2884866) (← links)
- Bias-Corrected Diagonal Discriminant Rules for High-Dimensional Classification (Q3076039) (← links)
- Diagonal Discriminant Analysis With Feature Selection for High-Dimensional Data (Q3391457) (← links)
- A comparison of regularization methods applied to the linear discriminant function with high-dimensional microarray data (Q4922655) (← links)
- Modified linear discriminant analysis using block covariance matrix in high-dimensional data (Q5267876) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- A comparison of methods for estimating the determinant of high-dimensional covariance matrix (Q6636158) (← links)
