Pages that link to "Item:Q3078956"
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The following pages link to Variable Selection in High-Dimensional Multivariate Binary Data with Application to the Analysis of Microbial Community DNA Fingerprints (Q3078956):
Displaying 15 items.
- A variable selection criterion for linear discriminant rule and its optimality in high dimensional and large sample data (Q391949) (← links)
- Minimum distance classification rules for high dimensional data (Q855920) (← links)
- Independent rule in classification of multivariate binary data (Q1036789) (← links)
- A recursive procedure for density estimation on the binary hypercube (Q1951138) (← links)
- Model selection with mixed variables on the Lasso path (Q2040668) (← links)
- Variable selection for binary classification in large dimensions: comparisons and application to microarray data (Q2197385) (← links)
- Persistence of plug-in rule in classification of high dimensional multivariate binary data (Q2382893) (← links)
- A guided random walk through some high dimensional problems (Q2431011) (← links)
- On the interpoint distances of Bernoulli vectors (Q2444401) (← links)
- On multivariate binary data clustering and feature weighting (Q2445579) (← links)
- A generalization of BIC for the general exponential family (Q2498747) (← links)
- A Set of Efficient Methods to Generate High-Dimensional Binary Data With Specified Correlation Structures (Q5056984) (← links)
- Selection of Binary Variables and Classification by Boosting (Q5436402) (← links)
- Utilizing stability criteria in choosing feature selection methods yields reproducible results in microbiome data (Q6055642) (← links)
- Interpoint Distance Classification of High Dimensional Discrete Observations (Q6086612) (← links)
