Pages that link to "Item:Q1763097"
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The following pages link to Some theory for Fisher's linear discriminant function, `naive Bayes', and some alternatives when there are many more variables than observations (Q1763097):
Displaying 38 items.
- Some Statistical Problems with High Dimensional Financial data (Q5227362) (← links)
- Batch Effects Correction with Unknown Subtypes (Q5231488) (← links)
- A Geometric Perspective on the Power of Principal Component Association Tests in Multiple Phenotype Studies (Q5242443) (← links)
- A simple model‐based approach to variable selection in classification and clustering (Q5256376) (← links)
- Modified linear discriminant analysis using block covariance matrix in high-dimensional data (Q5267876) (← links)
- High-Dimensional Data Classification (Q5270620) (← links)
- Integrative genetic risk prediction using non‐parametric empirical Bayes classification (Q5283313) (← links)
- A DC Programming Approach for Sparse Estimation of a Covariance Matrix (Q5356977) (← links)
- Shrinkage‐based Diagonal Discriminant Analysis and Its Applications in High‐Dimensional Data (Q5850946) (← links)
- On rank distribution classifiers for high-dimensional data (Q5861454) (← links)
- Estimating structured high-dimensional covariance and precision matrices: optimal rates and adaptive estimation (Q5965313) (← links)
- High dimensional binary classification under label shift: phase transition and regularization (Q6062484) (← links)
- An Efficient Convex Formulation for Reduced-Rank Linear Discriminant Analysis in High Dimensions (Q6069866) (← links)
- An Efficient Greedy Search Algorithm for High-Dimensional Linear Discriminant Analysis (Q6069872) (← links)
- Interpoint Distance Classification of High Dimensional Discrete Observations (Q6086612) (← links)
- A Normality Test for High-dimensional Data Based on the Nearest Neighbor Approach (Q6107242) (← links)
- A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724) (← links)
- Block-diagonal precision matrix regularization for ultra-high dimensional data (Q6111505) (← links)
- Sparse overlapped linear discriminant analysis (Q6169921) (← links)
- Polynomial whitening for high-dimensional data (Q6178887) (← links)
- A Pairwise Hotelling Method for Testing High-Dimensional Mean Vectors (Q6185128) (← links)
- Multiclass sparse discriminant analysis incorporating graphical structure among predictors (Q6187806) (← links)
- A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)
- Classification in high dimension with an Alternative Feature Augmentation via Nonparametrics and Selection (AFANS) (Q6544964) (← links)
- Supervised classification of high-dimensional correlated data: application to genomic data (Q6546754) (← links)
- Model-Based Tensor Low-Rank Clustering (Q6552543) (← links)
- A review of discriminant analysis in high dimensions (Q6562693) (← links)
- Statistical inference under the strongly spiked eigenvalue model (Q6601514) (← links)
- A survey on Neyman-Pearson classification and suggestions for future research (Q6604482) (← links)
- Wasserstein filter for variable screening in binary classification in the reproducing kernel Hilbert space (Q6611226) (← links)
- High dimensional discriminant rules with shrinkage estimators of the covariance matrix and mean vector (Q6616195) (← links)
- High-dimensional integrative copula discriminant analysis for multiomics data (Q6617435) (← links)
- A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification (Q6621322) (← links)
- A comparison of methods for estimating the determinant of high-dimensional covariance matrix (Q6636158) (← links)
- Anticipative Bayesian classification for data streams with verification latency (Q6662597) (← links)
- High-dimensional sparse classification using exponential weighting with empirical hinge loss (Q6668598) (← links)
- Bandwidth selection for large covariance and precision matrices (Q6671919) (← links)
- Linear discriminant analysis with sparse and dense signals (Q6671920) (← links)