Pages that link to "Item:Q4468412"
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The following pages link to Model-Based Clustering, Discriminant Analysis, and Density Estimation (Q4468412):
Displaying 50 items.
- Parsimonious skew mixture models for model-based clustering and classification (Q1621294) (← links)
- An evolutionary Monte Carlo algorithm for Bayesian block clustering of data matrices (Q1621318) (← links)
- Flexible clustering via extended mixtures of common \(t\)-factor analyzers (Q1622105) (← links)
- The path to equilibrium in sequential and simultaneous games: a mousetracking study (Q1622451) (← links)
- Clustering the prevalence of pediatric chronic conditions in the United States using distributed computing (Q1624814) (← links)
- Bayesian cluster analysis: point estimation and credible balls (with discussion) (Q1631564) (← links)
- On the role of latent variable models in the era of big data (Q1642420) (← links)
- Spatial expectile predictions for elliptical random fields (Q1657810) (← links)
- Model-based clustering for assessing the prognostic value of imaging biomarkers and mixed type tests (Q1658145) (← links)
- Maximum likelihood estimation of mixtures of factor analyzers (Q1658325) (← links)
- Adjusting background noise in cluster analyses of longitudinal data (Q1658439) (← links)
- Model-based simultaneous clustering and ordination of multivariate abundance data in ecology (Q1658515) (← links)
- Comparing classical criteria for selecting intra-class correlated features in Multimix (Q1659009) (← links)
- A Bayesian method for simultaneous registration and clustering of functional observations (Q1659066) (← links)
- Clustering, classification, discriminant analysis, and dimension reduction via generalized hyperbolic mixtures (Q1659365) (← links)
- Clustering with the multivariate normal inverse Gaussian distribution (Q1660185) (← links)
- Model-based biclustering of clickstream data (Q1660186) (← links)
- Unsupervised learning of mixture regression models for longitudinal data (Q1662922) (← links)
- Addressing overfitting and underfitting in Gaussian model-based clustering (Q1663118) (← 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)
- Hidden semi-Markov models for predictive maintenance (Q1665208) (← links)
- Patchy patterns due to group dispersal (Q1670570) (← links)
- Cluster analysis of longitudinal profiles with subgroups (Q1697471) (← links)
- Modelling the role of variables in model-based cluster analysis (Q1702292) (← links)
- Asymmetric clusters and outliers: mixtures of multivariate contaminated shifted asymmetric Laplace distributions (Q1727862) (← links)
- Testing the level of consistency between choices and beliefs in games using eye-tracking (Q1735771) (← links)
- Bayesian curve fitting and clustering with Dirichlet process mixture models for microarray data (Q1740308) (← links)
- Variable selection methods for model-based clustering (Q1749770) (← links)
- Mixture modeling on related samples by \(\psi\)-stick breaking and kernel perturbation (Q1757668) (← links)
- Panel data analysis: a survey on model-based clustering of time series (Q1761308) (← links)
- Model-based mixture discriminant analysis -- an experimental study (Q1765592) (← links)
- A robust method for cluster analysis (Q1781164) (← links)
- A population background for nonparametric density-based clustering (Q1790301) (← links)
- Optimal Bayesian clustering using non-negative matrix factorization (Q1796973) (← links)
- A predictive deviance criterion for selecting a generative model in semi-supervised classification (Q1800092) (← links)
- A probabilistic theory of clustering (Q1887696) (← links)
- Density-based silhouette diagnostics for clustering methods (Q1927282) (← links)
- Projection pursuit via white noise matrices (Q1936426) (← links)
- Clustering and classification via cluster-weighted factor analyzers (Q1947045) (← links)
- Data-driven density derivative estimation, with applications to nonparametric clustering and bump hunting (Q1951124) (← links)
- Clustering for multivariate continuous and discrete longitudinal data (Q1951526) (← links)
- \(p\)-values for classification (Q1951759) (← links)
- Mixture model modal clustering (Q1999447) (← links)
- Variational nonparametric discriminant analysis (Q2008105) (← links)
- Robust clustering around regression lines with high density regions (Q2009033) (← links)
- A Lasso-penalized BIC for mixture model selection (Q2009036) (← links)
- Mixtures of biased sentiment analysers (Q2009040) (← links)
- A comparison of some criteria for states selection in the latent Markov model for longitudinal data (Q2009042) (← links)