Pages that link to "Item:Q1931370"
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The following pages link to Estimation of covariance matrices based on hierarchical inverse-Wishart priors (Q1931370):
Displaying 14 items.
- Estimating high dimensional covariance matrices: a new look at the Gaussian conjugate framework (Q406528) (← links)
- Using a Bayesian hierarchical linear mixing model to estimate botanical mixtures (Q725246) (← links)
- Bayesian estimation of Karhunen-Loève expansions; a random subspace approach (Q726884) (← links)
- The Bayesian covariance lasso (Q897177) (← links)
- Simple marginally noninformative prior distributions for covariance matrices (Q908009) (← links)
- Stable estimation of a covariance matrix guided by nuclear norm penalties (Q1623701) (← links)
- Estimation of a covariance matrix using the reference prior (Q1805545) (← links)
- A shrinkage approach to joint estimation of multiple covariance matrices (Q2036300) (← links)
- The beta-mixture shrinkage prior for sparse covariances with near-minimax posterior convergence rate (Q2079610) (← links)
- Estimation of the inverse scatter matrix for a scale mixture of Wishart matrices under Efron-Morris type losses (Q2242869) (← links)
- Shrinkage priors for single-spiked covariance models (Q2244463) (← links)
- Optimal Multiple Decision Statistical Procedure for Inverse Covariance Matrix (Q5745760) (← links)
- Reducing subspace models for large‐scale covariance regression (Q6055710) (← links)
- Estimation of covariance and precision matrix, network structure, and a view toward systems biology (Q6607066) (← links)