Pages that link to "Item:Q95891"

The following pages link to Estimating common principal components in high dimensions (Q95891):

Displaying 37 items.

• mixture (Q26531) (← links)
• A mixture of generalized hyperbolic factor analyzers (Q108960) (← links)
• Parsimonious Hidden Markov Models for Matrix-Variate Longitudinal Data (Q118176) (← links)
• Constrained parsimonious model-based clustering (Q158407) (← links)
• Convergence and prediction of principal component scores in high-dimensional settings (Q620562) (← links)
• Location and scale mixtures of Gaussians with flexible tail behaviour: properties, inference and application to multivariate clustering (Q1663203) (← links)
• Mixture model selection via hierarchical BIC (Q1663289) (← links)
• Model based clustering of high-dimensional binary data (Q1663311) (← links)
• On parsimonious models for modeling matrix data (Q2008114) (← links)
• A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (Q2038212) (← links)
• Factor and hybrid components for model-based clustering (Q2089297) (← links)
• Chimeral clustering (Q2129309) (← links)
• Multivariate cluster-weighted models based on seemingly unrelated linear regression (Q2129595) (← links)
• Model-based clustering via new parsimonious mixtures of heavy-tailed distributions (Q2151998) (← links)
• A robust approach to model-based classification based on trimming and constraints. Semi-supervised learning in presence of outliers and label noise (Q2201323) (← links)
• An evolutionary algorithm with crossover and mutation for model-based clustering (Q2236771) (← links)
• In the pursuit of sparseness: a new rank-preserving penalty for a finite mixture of factor analyzers (Q2242013) (← links)
• A mixture of coalesced generalized hyperbolic distributions (Q2283312) (← links)
• Multivariate response and parsimony for Gaussian cluster-weighted models (Q2359572) (← links)
• Logistic biplot for nominal data (Q2418308) (← links)
• Mixture model averaging for clustering (Q2418395) (← links)
• Model-based clustering (Q2628064) (← links)
• Detecting approximate replicate components of a high-dimensional random vector with latent structure (Q2692538) (← links)
• Hypothesis Testing for Mixture Model Selection (Q5222517) (← links)
• On the number of principal components in high dimensions (Q5384592) (← links)
• A dual subspace parsimonious mixture of matrix normal distributions (Q6050764) (← links)
• Parsimonious mixtures for the analysis of tensor-variate data (Q6063148) (← links)
• Semiparametric partial common principal component analysis for covariance matrices (Q6079248) (← links)
• Preliminary Multiple-Test Estimation, With Applications to <i>k</i>-Sample Covariance Estimation (Q6110709) (← links)
• Flexible clustering of high-dimensional data via mixtures of joint generalized hyperbolic distributions (Q6541448) (← links)
• A family of parsimonious mixtures of multivariate Poisson-lognormal distributions for clustering multivariate count data (Q6541610) (← links)
• Model-based clustering with nested Gaussian clusters (Q6546742) (← links)
• Improving model choice in classification: an approach based on clustering of covariance matrices (Q6547776) (← links)
• On the use of the matrix-variate tail-inflated normal distribution for parsimonious mixture modeling (Q6614843) (← links)
• Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions (Q6653074) (← links)
• Parsimonious seemingly unrelated contaminated normal cluster-weighted models (Q6657927) (← links)
• Skew multiple scaled mixtures of normal distributions with flexible tail behavior and their application to clustering (Q6657931) (← links)