Pages that link to "Item:Q3142229"

The following pages link to Maximum likelihood estimation via the ECM algorithm: A general framework (Q3142229):

Displaying 50 items.

• A quasi-Newton acceleration for high-dimensional optimization algorithms (Q692972) (← links)
• Model-based clustering, classification, and discriminant analysis via mixtures of multivariate \(t\)-distributions (Q693333) (← links)
• Autoregressive models with mixture of scale mixtures of Gaussian innovations (Q724914) (← links)
• Weighted estimation of AMMI and GGE models (Q725256) (← links)
• A best linear threshold classification with scale mixture of skew normal populations (Q736983) (← links)
• Influence diagnostics for Grubbs's model with asymmetric heavy-tailed distributions (Q744801) (← 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)
• Likelihood-based and Bayesian methods for Tweedie compound Poisson linear mixed models (Q746345) (← links)
• Mixtures of hidden truncation hyperbolic factor analyzers (Q779042) (← links)
• Tractable Bayesian density regression via logit stick-breaking priors (Q826968) (← links)
• Linearly preconditioned nonlinear conjugate gradient acceleration of the PX-EM algorithm (Q829723) (← links)
• Mixture of linear experts model for censored data: a novel approach with scale-mixture of normal distributions (Q830079) (← links)
• A flexible factor analysis based on the class of mean-mixture of normal distributions (Q830496) (← links)
• Two new matrix-variate distributions with application in model-based clustering (Q830561) (← links)
• A modified EM algorithm for mixture models based on Bregman divergence (Q878191) (← links)
• Conceptual, computational and inferential benefits of the missing data perspective in applied and theoretical statistical problems (Q878277) (← links)
• Mixtures of regressions with changepoints (Q892470) (← links)
• Flexible mixture modelling using the multivariate skew-\(t\)-normal distribution (Q892802) (← links)
• Optimal classifier for multivariate rectangle-screened normal data classification (Q892876) (← links)
• Extending mixtures of factor models using the restricted multivariate skew-normal distribution (Q900823) (← links)
• Estimation of extreme percentiles in Birnbaum-Saunders distributions (Q901543) (← links)
• Maximum likelihood methods in a robust censored errors-in-variables model (Q905111) (← links)
• A regularized particle filter EM algorithm based on Gaussian randomization with an application to plant growth modeling (Q905216) (← links)
• Cross-fertilizing strategies for better EM mountain climbing and DA field exploration: a graphical guide book (Q906515) (← links)
• Block-conditional missing at random models for missing data (Q906522) (← links)
• Parameter expansion and efficient inference (Q906525) (← links)
• Graphics processing units and high-dimensional optimization (Q906530) (← links)
• Quantifying the fraction of missing information for hypothesis testing in statistical and genetic studies (Q908142) (← links)
• Acceleration of the EM and ECM algorithms using the Aitken \(\delta^2\) method for log-linear models with partially classified data (Q951173) (← links)
• Maximum likelihood estimation and model comparison of nonlinear structural equation models with continuous and polytomous variables (Q956739) (← links)
• Quasi-Monte Carlo sampling to improve the efficiency of Monte Carlo EM (Q957148) (← links)
• Heterogeneous demand responses to discrete price changes: an application to the purchase of lottery tickets (Q959209) (← links)
• Assessing local influence for nonlinear structural equation models with ignorable missing data (Q959232) (← links)
• A mixture model for the classification of three-way proximity data (Q959258) (← links)
• Analysis of longitudinal data with intermittent missing values using the stochastic EM algorithm (Q959356) (← links)
• On estimation and influence diagnostics for the Grubbs' model under heavy-tailed distributions (Q961267) (← links)
• Local influence analysis of nonlinear structural equation models with nonignorable missing outcomes from reproductive dispersion models (Q961834) (← links)
• New global optimization algorithms for model-based clustering (Q961891) (← links)
• Acceleration of the EM algorithm via extrapolation methods: review, comparison and new methods (Q962312) (← links)
• ECM-based maximum likelihood inference for multivariate linear mixed models with autoregressive errors (Q962387) (← links)
• Computationally efficient learning of multivariate \(t\) mixture models with missing information (Q964652) (← links)
• Doubly stochastic continuous-time hidden Markov approach for analyzing genome tiling arrays (Q985036) (← links)
• DOA estimator performance assessment in the pre-asymptotic domain using the likelihood principle (Q985458) (← links)
• Transposable regularized covariance models with an application to missing data imputation (Q993250) (← links)
• A mixture of experts model for rank data with applications in election studies (Q999671) (← links)
• Surrogate maximization/minimization algorithms and extensions (Q1009342) (← links)
• Accelerating the convergence of the EM algorithm using the vector \(\varepsilon \) algorithm (Q1010504) (← links)
• A mixture of mixture models for a classification problem: the unity measure error (Q1019886) (← links)
• A linearization procedure and a VDM/ECM algorithm for penalized and constrained nonparametric maximum likelihood estimation for mixture models (Q1019924) (← links)