Pages that link to "Item:Q1298195"

The following pages link to Standard errors of fitted component means of normal mixture (Q1298195):

Displaying 50 items.

• Multivariate mixture modeling using skew-normal independent distributions (Q120592) (← links)
• Robust mixture modeling based on scale mixtures of skew-normal distributions (Q120596) (← links)
• Maximum likelihood inference for the multivariate \(t\) mixture model (Q290698) (← links)
• On the distribution of posterior probabilities in finite mixture models with application in clustering (Q391879) (← links)
• Bayesian model-based tight clustering for time course data (Q626248) (← links)
• Location-scale mixture of skew-elliptical distributions: looking at the robust modeling (Q670136) (← links)
• Maximum likelihood inference for mixtures of skew Student-\(t\)-normal distributions through practical EM-type algorithms (Q746208) (← links)
• Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (Q892802) (← links)
• Inference and further probabilistic properties of the \(\mathrm{SUN}_{n,2}\)-distribution (Q894864) (← links)
• Fitting a mixture distribution to a variable subject to heteroscedastic measurement errors (Q1424624) (← links)
• General framework and model building in the class of hidden mixture transition distribution models (Q1660196) (← links)
• A comparison of the \(L_2\) minimum distance estimator and the EM-algorithm when fitting \(k\)-component univariate normal mixtures (Q1685303) (← links)
• Flexible regression modeling for censored data based on mixtures of Student-\(t\) distributions (Q1729330) (← links)
• Computing the standard errors of mixture model parameters with EM when classes are well separated (Q1861637) (← links)
• The location-scale mixture exponential power distribution: a Bayesian and maximum likelihood approach (Q1951226) (← links)
• Finite mixtures of skew Laplace normal distributions with random skewness (Q1995852) (← links)
• Finite mixture modeling of censored data using the multivariate Student-\(t\) distribution (Q2011524) (← links)
• Finite mixtures of multivariate scale-shape mixtures of skew-normal distributions (Q2029226) (← links)
• Heckman selection-\(t\) model: parameter estimation via the EM-algorithm (Q2034452) (← links)
• Estimating the covariance matrix of the maximum likelihood estimator under linear cluster-weighted models (Q2075731) (← links)
• On finite mixtures of discretized beta model for ordered responses (Q2084722) (← links)
• Finite mixture modeling of censored and missing data using the multivariate skew-normal distribution (Q2103847) (← links)
• A robust Birnbaum-Saunders regression model based on asymmetric heavy-tailed distributions (Q2230669) (← links)
• Investigation of parameter uncertainty in clustering using a Gaussian mixture model via jackknife, bootstrap and weighted likelihood bootstrap (Q2282602) (← links)
• Robust model-based clustering via mixtures of skew-\(t\) distributions with missing information (Q2418408) (← links)
• Maximum likelihood estimation for multivariate skew normal mixture models (Q2519038) (← links)
• Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression (Q2665004) (← links)
• Automated learning of mixtures of factor analysis models with missing information (Q2665792) (← links)
• Maximum likelihood estimation for scale-shape mixtures of flexible generalized skew normal distributions via selection representation (Q2667023) (← links)
• Clustering in linear-mixed models with a group fused lasso penalty (Q2874292) (← links)
• Estimation of the Variance for the Maximum Likelihood Estimates in Normal Mixture Models and Normal Hidden Markov Models (Q3455443) (← links)
• Combining independent normal Sample means by weighting With their standard errors (Q4347026) (← links)
• A robust multivariate Birnbaum–Saunders regression model (Q4999855) (← links)
• (Q5013179) (← links)
• The multivariate tail-inflated normal distribution and its application in finance (Q5033962) (← links)
• Bootstrap likelihood ratio test for Weibull mixture models fitted to grouped data (Q5076915) (← links)
• Robust mixture regression modeling based on the generalized M (GM)-estimation method (Q5082728) (← links)
• An evaluation of the bootstrap for model validation in mixture models (Q5084769) (← links)
• Multivariate normal mean-variance mixture distribution based on Lindley distribution (Q5084783) (← links)
• Heteroscedastic and heavy-tailed regression with mixtures of skew Laplace normal distributions (Q5107518) (← links)
• Hybrid Bayesian inference on HIV viral dynamic models (Q5129133) (← links)
• A robust multivariate Birnbaum–Saunders distribution: EM estimation (Q5147568) (← links)
• (Q5781441) (← links)
• A Probit Latent Class Model with General Correlation Structures for Evaluating Accuracy of Diagnostic Tests (Q5850963) (← links)
• Clustering asymmetrical data with outliers: parsimonious mixtures of contaminated mean-mixture of normal distributions (Q6073135) (← links)
• Robust clustering of COVID-19 cases across U.S. counties using mixtures of asymmetric time series models with time varying and freely indexed covariates (Q6078159) (← links)
• A robust factor analysis model based on the canonical fundamental skew-\(t\) distribution (Q6099132) (← links)
• Robust mixture regression modeling based on two-piece scale mixtures of normal distributions (Q6106157) (← links)
• Model-based clustering and classification using mixtures of multivariate skewed power exponential distributions (Q6156314) (← links)
• Robust mixture regression modeling based on the normal mean-variance mixture distributions (Q6167045) (← links)