Pages that link to "Item:Q3631447"
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The following pages link to Clustering Using Objective Functions and Stochastic Search (Q3631447):
Displaying 32 items.
- Bayesian clustering of replicated time-course gene expression data with weak signals (Q156467) (← links)
- Graph clustering (Q458448) (← links)
- A Bayesian clustering approach for detecting gene-gene interactions in high-dimensional genotype data (Q461676) (← links)
- Functional clustering in nested designs: modeling variability in reproductive epidemiology studies (Q483995) (← links)
- Bayesian model-based tight clustering for time course data (Q626248) (← links)
- A generalization of the Solis-Wets method (Q651065) (← links)
- Cluster analysis, model selection, and prior distributions on models (Q899044) (← links)
- Model-based clustering for longitudinal data (Q1023471) (← links)
- Large-sample results for optimization-based clustering methods (Q1176598) (← links)
- Unsupervised learning of mixture regression models for longitudinal data (Q1662922) (← links)
- Clustering for multivariate continuous and discrete longitudinal data (Q1951526) (← links)
- Extending finite mixtures of \(t\) linear mixed-effects models with concomitant covariates (Q2189590) (← links)
- A unified framework for de-duplication and population size estimation (with discussion) (Q2226702) (← links)
- Mixture of multivariate \(t\) nonlinear mixed models for multiple longitudinal data with heterogeneity and missing values (Q2273150) (← links)
- Estimation in Dirichlet random effects models (Q2380094) (← links)
- Lipschitz partition processes (Q2515503) (← links)
- Finite mixture of censored linear mixed models for irregularly observed longitudinal data (Q2680182) (← links)
- Agglomerative joint clustering of metabolic data with spike at zero: a Bayesian perspective (Q2802567) (← links)
- Clustering in linear-mixed models with a group fused lasso penalty (Q2874292) (← links)
- On integrating multi-experiment microarray data (Q2955634) (← links)
- Bayesian mixture modeling using a hybrid sampler with application to protein subfamily identification (Q3303581) (← links)
- Various Types of Objective Functions of Clustering for Uncertain Data (Q4558809) (← links)
- Bayesian Fourier clustering of gene expression data (Q4638837) (← links)
- Multilevel Functional Clustering Analysis (Q4649057) (← links)
- On two‐way Bayesian agglomerative clustering of gene expression data (Q4969862) (← links)
- Spatial regression and estimation of disease risks: A clustering‐based approach (Q4970221) (← links)
- Clustering in linear mixed models with approximate Dirichlet process mixtures using EM algorithm (Q4970799) (← links)
- Functional data clustering using principal curve methods (Q5104527) (← links)
- A simple model‐based approach to variable selection in classification and clustering (Q5256376) (← links)
- A convergence diagnostic for Bayesian clustering (Q6602121) (← links)
- Clustering longitudinal data for growth curve modelling by Gibbs sampler and information criterion (Q6605873) (← links)
- Extending finite mixtures of nonlinear mixed-effects models with covariate-dependent mixing weights (Q6613887) (← links)
