The following pages link to A covariance regression model (Q2883907):
Displaying 33 items.
- Bayesian modeling of the dependence in longitudinal data via partial autocorrelations and marginal variances (Q391528) (← links)
- Covariance estimation: the GLM and regularization perspectives (Q449843) (← links)
- Variance and covariance heterogeneity analysis for detection of metabolites associated with cadmium exposure (Q743614) (← links)
- ARMA Cholesky factor models for the covariance matrix of linear models (Q1658394) (← links)
- Semiparametric model for covariance regression analysis (Q2008100) (← links)
- Estimations of means and variances in a Markov linear model (Q2088570) (← links)
- A bias-corrected least-squares Monte Carlo for solving multi-period utility models (Q2157230) (← links)
- Principal regression for high dimensional covariance matrices (Q2233571) (← links)
- On covariate importance for regression models with multivariate response (Q2348814) (← links)
- Bayesian sparse covariance decomposition with a graphical structure (Q2631381) (← links)
- Covariance matrix estimation of the maximum likelihood estimator in multivariate clusterwise linear regression (Q2665004) (← links)
- Aggregated multivariate measures performed under changing circumstances (Q2736778) (← links)
- Bayesian nonparametric covariance regression (Q2788372) (← links)
- Longitudinal Principal Component Analysis With an Application to Marketing Data (Q3391432) (← links)
- Note—Derivation of Covariance Probit Elasticities (Q3478260) (← links)
- A covariance matrix that accounts for different degrees of extraneous variation in multinomial responses (Q4266852) (← links)
- Bayesian Semiparametric Multivariate Density Deconvolution (Q4690967) (← links)
- Bayesian inference for high-dimensional nonstationary Gaussian processes (Q5033449) (← links)
- (Q5214268) (← links)
- Bayesian Edge Regression in Undirected Graphical Models to Characterize Interpatient Heterogeneity in Cancer (Q5885074) (← links)
- A semiparametric model for between‐subject attributes: Applications to beta‐diversity of microbiome data (Q6055623) (← links)
- Reducing subspace models for large‐scale covariance regression (Q6055710) (← links)
- Heterogeneous large datasets integration using Bayesian factor regression (Q6121610) (← links)
- Regression‐based covariance functions for nonstationary spatial modeling (Q6139146) (← links)
- Bayesian analysis of spherically parameterized dynamic multivariate stochastic volatility models (Q6177007) (← links)
- Set-based differential covariance testing for genomics (Q6541510) (← links)
- A combined multilevel factor analysis and covariance regression model with mixed effects in the mean and variance structure (Q6626834) (← links)
- A Bayesian hierarchical sparse factor model for estimating simultaneous covariance matrices for gestational outcomes in consecutive pregnancies (Q6626860) (← links)
- Flexible bivariate correlated count data regression (Q6629802) (← links)
- A Covariate-Regulated Sparse Subspace Learning Model and Its Application to Process Monitoring and Fault Isolation (Q6631131) (← links)
- Covariate-Assisted Bayesian Graph Learning for Heterogeneous Data (Q6631698) (← links)
- Covariate-Dependent Clustering of Undirected Networks with Brain-Imaging Data (Q6637467) (← links)
- Modelling correlation matrices in multivariate data, with application to reciprocity and complementarity of child-parent exchanges of support (Q6665488) (← links)
