Pages that link to "Item:Q2797329"
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The following pages link to High-dimensional classification via nonparametric empirical Bayes and maximum likelihood inference (Q2797329):
Displaying 24 items.
- Bayesian kernel projections for classification of high dimensional data (Q692966) (← links)
- Classifier design given an uncertainty class of feature distributions via regularized maximum likelihood and the incorporation of biological pathway knowledge in steady-state phenotype classification (Q888574) (← links)
- Bayesian nonparametric classification for spectroscopy data (Q1623622) (← 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)
- High-dimensional linear discriminant analysis using nonparametric methods (Q2062785) (← links)
- Poisson mean vector estimation with nonparametric maximum likelihood estimation and application to protein domain data (Q2161181) (← links)
- Statistical theory powering data science (Q2194583) (← links)
- On the nonparametric maximum likelihood estimator for Gaussian location mixture densities with application to Gaussian denoising (Q2196192) (← links)
- Application of the empirical Bayes approach to nonparametric testing for high-dimensional data (Q2810025) (← links)
- Application of non parametric empirical Bayes estimation to high dimensional classification (Q2880945) (← links)
- Decision-Directed Multivariate Empirical Bayes Classification with Nonstationary Priors (Q3765063) (← links)
- TESTING FOR HOMOGENEITY IN MIXTURE MODELS (Q4569586) (← links)
- Learning from a lot: Empirical Bayes for high‐dimensional model‐based prediction (Q4629271) (← links)
- SURE estimates for high dimensional classification (Q4970345) (← 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)
- Incorporating prior probabilities into high-dimensional classifiers (Q5305468) (← links)
- Overfitting, generalization, and MSE in class probability estimation with high‐dimensional data (Q5416417) (← links)
- Distributed eQTL analysis with auxiliary information (Q6049411) (← 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)
- Learning Gaussian mixtures using the Wasserstein-Fisher-Rao gradient flow (Q6621546) (← links)
