Pages that link to "Item:Q2880945"

The following pages link to Application of non parametric empirical Bayes estimation to high dimensional classification (Q2880945):

Displaying 21 items.

• Bayesian feature selection for classification with possibly large number of classes (Q546111) (← links)
• Testing the statistical significance of an ultra-high-dimensional naïve Bayes classifier (Q897173) (← links)
• Simultaneous estimation based on empirical likelihood and general maximum likelihood estimation (Q1662032) (← links)
• Approximate nonparametric maximum likelihood for mixture models: a convex optimization approach to fitting arbitrary multivariate mixing distributions (Q1662317) (← links)
• Multiple Bayesian discriminant functions for high-dimensional massive data classification (Q1741308) (← links)
• Deconvolution estimation of mixture distributions with boundaries (Q1951116) (← links)
• High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
• Nonparametric empirical Bayes and compound decision approaches to estimation of a high-dimensional vector of normal means (Q2388977) (← links)
• A guided random walk through some high dimensional problems (Q2431011) (← links)
• Variable selection for Naïve Bayes classification (Q2669548) (← links)
• High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference (Q2797329) (← links)
• Decision-Directed Multivariate Empirical Bayes Classification with Nonstationary Priors (Q3765063) (← links)
• Facilitating high‐dimensional transparent classification via empirical Bayes variable selection (Q4627116) (← links)
• SURE estimates for high dimensional classification (Q4970345) (← links)
• Experimental comparison of functional and multivariate spectral-based supervised classification methods in hyperspectral image (Q5036392) (← links)
• Simultaneous estimation of normal means with side information (Q5155201) (← links)
• (Q5159467) (← links)
• Integrative genetic risk prediction using non‐parametric empirical Bayes classification (Q5283313) (← links)
• A high-dimensional classification rule using sample covariance matrix equipped with adjusted estimated eigenvalues (Q6541769) (← links)
• High dimensional discriminant rules with shrinkage estimators of the covariance matrix and mean vector (Q6616195) (← links)
• A locally adaptive shrinkage approach to false selection rate control in high-dimensional classification (Q6621322) (← links)