Pages that link to "Item:Q2960508"
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The following pages link to Model Selection for Gaussian Mixture Models (Q2960508):
Displaying 44 items.
- Explaining mixture models through semantic pattern mining and banded matrix visualization (Q338636) (← links)
- Integrated cumulative error (ICE) distance for non-nested mixture model selection: application to extreme values in metal fatigue problems (Q489175) (← links)
- Penalized multimodal mixture logit model (Q626262) (← links)
- Root selection in normal mixture models (Q693259) (← links)
- Optimization of the number of components in the mixed model using multi-criteria decision-making (Q693554) (← links)
- A new feature selection method for Gaussian mixture clustering (Q1005612) (← links)
- A quick procedure for model selection in the case of mixture of normal densities (Q1020660) (← links)
- Identifying connected components in Gaussian finite mixture models for clustering (Q1660183) (← links)
- Unsupervised learning of mixture regression models for longitudinal data (Q1662922) (← links)
- Mixture model selection via hierarchical BIC (Q1663289) (← links)
- Model selection for Gaussian regression with random design (Q1763101) (← links)
- A Lasso-penalized BIC for mixture model selection (Q2009036) (← links)
- Fitting a Gaussian mixture model through the Gini index (Q2057972) (← links)
- Statistical inference for normal mixtures with unknown number of components (Q2084470) (← links)
- Estimating finite mixtures of ordinal graphical models (Q2141636) (← links)
- Finite mixture of varying coefficient model: estimation and component selection (Q2418532) (← links)
- Assessment of the number of components in Gaussian mixture models in the presence of multiple local maximizers (Q2637605) (← links)
- Estimation and order selection for multivariate exponential power mixture models (Q2692915) (← links)
- Analysis of a multivariate Gaussian mixture model based on the DRJMCMC method (Q2918062) (← links)
- Order selection in finite mixture models: complete or observed likelihood information criteria? (Q3455820) (← links)
- Bayesian Model Selection in Finite Mixtures by Marginal Density Decompositions (Q4468340) (← links)
- Model selection for the localized mixture of experts models (Q5036467) (← links)
- Penalized proportion estimation for non parametric mixture of regressions (Q5077371) (← links)
- A new model selection procedure for finite mixture regression models (Q5077504) (← links)
- Penalized estimation in finite mixture of ultra-high dimensional regression models (Q5095987) (← links)
- FBST for Mixture Model Selection (Q5118694) (← links)
- A Thresholding Algorithm for Order Selection in Finite Mixture Models (Q5252841) (← links)
- Clustering Discrete Data Through the Multinomial Mixture Model (Q5495067) (← links)
- Variable selection in finite mixture of generalized estimating equations (Q5866154) (← links)
- Semiparametric Fractional Imputation Using Gaussian Mixture Models for Handling Multivariate Missing Data (Q5885091) (← links)
- Assessing the number of components in finite Gaussian mixtures by generalised Fisher ratio, normalised entropy criterion and functional merging (Q5938752) (← links)
- Gaussian model selection (Q5945247) (← links)
- Extending the Gneiting class for modeling spatially isotropic and temporally symmetric vector random fields (Q6044189) (← links)
- Hybrid Hard-Soft Screening for High-dimensional Latent Class Analysis (Q6069870) (← links)
- Cluster non‐Gaussian functional data (Q6076496) (← links)
- Discussion on “Distributional independent component analysis for diverse neuroimaging modalities” by Ben Wu, Subhadip Pal, Jian Kang, and Ying Guo (Q6079593) (← links)
- Robust mixture regression modeling based on two-piece scale mixtures of normal distributions (Q6106157) (← links)
- A latent class Cox model for heterogeneous time-to-event data (Q6150514) (← links)
- Network Inference Using the Hub Model and Variants (Q6567921) (← links)
- Estimation of a clustering model for non Gaussian functional data (Q6588675) (← links)
- Tuning-free sparse clustering via alternating hard-thresholding (Q6596173) (← links)
- Gaussian mixture models with concave penalized fusion (Q6621327) (← links)
- Penalized composite likelihood estimation for hidden Markov models with unknown number of states (Q6650734) (← links)
- Sparse functional varying-coefficient mixture regression (Q6667475) (← links)
