Pages that link to "Item:Q4468412"

The following pages link to Model-Based Clustering, Discriminant Analysis, and Density Estimation (Q4468412):

Displaying 50 items.

• Fitting semiparametric clustering models to dissimilarity data (Q484231) (← links)
• Learning mixtures of Bernoulli templates by two-round EM with performance guarantee (Q489161) (← links)
• Choosing the number of clusters in a finite mixture model using an exact integrated completed likelihood criterion (Q497086) (← links)
• Statistical models and computational algorithms for discovering relationships in microbiome data (Q523934) (← links)
• The \(L_{1}\)-consistency of Dirichlet mixtures in multivariate Bayesian density estimation (Q604357) (← links)
• A dimensionally reduced finite mixture model for multilevel data (Q604368) (← links)
• Gamma-based clustering via ordered means with application to gene-expression analysis (Q620546) (← links)
• Mixtures of modified \(t\)-factor analyzers for model-based clustering, classification, and discriminant analysis (Q622441) (← links)
• Selecting hidden Markov model state number with cross-validated likelihood (Q626234) (← links)
• Dimensionally reduced mixtures of regression models (Q629103) (← links)
• Finite mixtures of matrix normal distributions for classifying three-way data (Q637984) (← links)
• Multivariate linear regression with non-normal errors: a solution based on mixture models (Q637985) (← links)
• Determining the number of clusters in cluster analysis (Q640693) (← links)
• A comparison of imputation methods for handling missing scores in biometric fusion (Q650951) (← links)
• On Bayesian ``central clustering'': application to landscape classification of Western Ghats (Q652362) (← links)
• An externally modulated, noise-driven switch for the regulation of SPI1 in \textit{Salmonella enterica} serovar Typhimurium (Q659063) (← links)
• The influence function of the TCLUST robust clustering procedure (Q693038) (← links)
• Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions (Q693333) (← links)
• Maximum likelihood estimation of heterogeneous mixtures of Gaussian and uniform distributions (Q710810) (← links)
• Integrative model-based clustering of microarray methylation and expression data (Q714386) (← links)
• Model-based capacitated clustering with posterior regularization (Q724144) (← links)
• Latent ignorability and item selection for nursing home case-mix evaluation (Q724611) (← links)
• Robust double clustering: a method based on alternating concentration steps (Q734384) (← links)
• Semiparametric predictive mean matching (Q734446) (← links)
• Density-based clustering with non-continuous data (Q736661) (← links)
• On the characterization of flowering curves using Gaussian mixture models (Q738681) (← links)
• Clustering noise-included data by controlling decision errors (Q744704) (← links)
• Separating a mixture of two normals with proportional covariances (Q745522) (← links)
• Flexible mixture modeling via the multivariate \(t\) distribution with the Box-Cox transformation: an alternative to the skew-\(t\) distribution (Q746177) (← links)
• Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms (Q746208) (← links)
• Block clustering with collapsed latent block models (Q746220) (← links)
• Using conditional independence for parsimonious model-based Gaussian clustering (Q746302) (← links)
• An advancement in clustering via nonparametric density estimation (Q746320) (← links)
• Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data (Q746668) (← links)
• Rasch trees: a new method for detecting differential item functioning in the Rasch model (Q748201) (← links)
• Semiparametric mixture of regression models under unimodal error distribution (Q777849) (← links)
• Clustering large datasets by merging \(K\)-means solutions (Q779014) (← links)
• A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
• Robust variable selection for model-based learning in presence of adulteration (Q830086) (← links)
• Generalized \(k\)-means in GLMs with applications to the outbreak of COVID-19 in the United States (Q830116) (← links)
• Bayesian clustering of skewed and multimodal data using geometric skewed normal distributions (Q830541) (← links)
• Bayesian nonparametric clustering as a community detection problem (Q830551) (← links)
• A mixture model-based approach to the clustering of exponential repeated data (Q842912) (← links)
• Robust factorization methods using a Gaussian/uniform mixture model (Q847480) (← links)
• Model-based evaluation of clustering validation measures (Q856438) (← links)
• Model-based clustering for integrated circuit yield enhancement (Q857371) (← links)
• Simultaneous modelling of the Cholesky decomposition of several covariance matrices (Q873623) (← links)
• On the identification of differentially expressed genes: Improving the generalized F-statistics for Affymetrix microarray gene expression data (Q883812) (← links)
• Orthogonal Stiefel manifold optimization for eigen-decomposed covariance parameter estimation in mixture models (Q892462) (← links)
• Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (Q892802) (← links)