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Bayesian correlation estimation
John C. Liechty
, Merrill W. Liechty
, Peter Müller
Marketing
Penn State Cancer Institute
Cancer Institute, Experimental Therapeutics
Research output
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Contribution to journal
›
Review article
›
peer-review
77
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Scopus citations
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Keyphrases
Probability Model
100%
Prior Probability
100%
Correlation Estimation
100%
Normalizing Constant
100%
Stock Returns
50%
Uncertainty Levels
50%
Positive Definite
50%
Correlation Matrix
50%
Population Genetics
50%
Parameter Function
50%
Variance-covariance Matrix
50%
Simulation Scheme
50%
Example-based
50%
Posterior Simulation
50%
Posterior Inference
50%
Clustering Mechanism
50%
Mixture Structure
50%
Mathematics
Bayesian
100%
Probability Model
100%
Prior Probability
100%
Positive Definite
50%
Parametric
50%
Simulated Data
50%
Clustering
50%
Posteriori
50%
Variance Covariance Matrix
50%
Correlation Matrix
50%
Engineering
Prior Probability
100%
Prior Model
50%
Simulated Data
50%
Correlation Matrix
50%
Covariance Matrix
50%
Positive Definite
50%
Earth and Planetary Sciences
Clustering
100%
Covariance
100%
Population Genetics
100%
Agricultural and Biological Sciences
Population Genetics
100%
Covariance
100%