Pages that link to "Item:Q1931437"

The following pages link to Maximum likelihood estimation for the tensor normal distribution: Algorithm, minimum sample size, and empirical bias and dispersion (Q1931437):

Displaying 32 items.

• sEparaTe (Q27240) (← links)
• Covariate-Adjusted Tensor Classification in High-Dimensions (Q131930) (← links)
• A higher-order LQ decomposition for separable covariance models (Q149116) (← links)
• A Penalized Likelihood Method for Classification With Matrix-Valued Predictors (Q149263) (← links)
• Log-determinant divergences revisited: alpha-beta and gamma log-det divergences (Q296329) (← links)
• Tensor methods for full-information maximum likelihood estimation: Unconstrained estimation (Q1342438) (← links)
• Independent component analysis for tensor-valued data (Q1679572) (← links)
• Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
• A note on necessary and sufficient conditions of existence and uniqueness for the maximum likelihood estimator of a Kronecker-product variance-covariance matrix (Q2132010) (← links)
• Estimation of a multiplicative correlation structure in the large dimensional case (Q2190234) (← links)
• Self similar compound symmetry covariance structure (Q2241713) (← links)
• Tensor-variate finite mixture modeling for the analysis of university professor remuneration (Q2245178) (← links)
• Estimation of parameters under a generalized growth curve model (Q2359677) (← links)
• Graphical model selection and estimation for high dimensional tensor data (Q2451627) (← links)
• Separable factor analysis with applications to mortality data (Q2453659) (← links)
• Kronecker-structured covariance models for multiway data (Q2678238) (← links)
• ISLET: Fast and Optimal Low-Rank Tensor Regression via Importance Sketching (Q5027035) (← links)
• Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees (Q5066457) (← links)
• Maximum likelihood estimation for tensor normal models via castling transforms (Q5093810) (← links)
• Classification of Higher-order Data with Separable Covariance and Structured Multiplicative or Additive Mean Models (Q5419342) (← links)
• Parsimonious mixtures for the analysis of tensor-variate data (Q6063148) (← links)
• Tensor envelope mixture model for simultaneous clustering and multiway dimension reduction (Q6079588) (← links)
• Correlation Tensor Decomposition and Its Application in Spatial Imaging Data (Q6107220) (← links)
• A Doubly Enhanced EM Algorithm for Model-Based Tensor Clustering (Q6110724) (← links)
• Parsimonious Tensor Discriminant Analysis (Q6144625) (← links)
• Model-Based Tensor Low-Rank Clustering (Q6552543) (← links)
• Dynamic modeling and online monitoring of tensor data streams with application to passenger flow surveillance (Q6616320) (← links)
• Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization (Q6621650) (← links)
• Tensor Mixed Effects Model With Application to Nanomanufacturing Inspection (Q6636532) (← links)
• Block structure-based covariance tensor decomposition for group identification in matrix variables (Q6650741) (← links)
• Finite mixture of hidden Markov models for tensor-variate time series data (Q6653071) (← links)
• Alteration detection of tensor dependence structure via sparsity-exploited reranking algorithm (Q6667483) (← links)