Jointness In Bayesian Variable Selection With Applications To Growth Regression

Jointness In Bayesian Variable Selection With Applications To Growth Regression / Ley, Eduardo

The authors present a measure of jointness to explore dependence among regressors in the context of Bayesian model selection. The jointness measure they propose equals the posterior odds ratio between those models that include a set of variables and the models that only include proper subsets. They...

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Bibliographic Details
Main Authors:Ley, Eduardo
Other Authors:Steel, Mark F. J.
Format: Online-Resource
Language:English
Published:Washington, D.C : The World Bank, 2006
Subjects:
Arts and Music
Calibration
Climate Change
Counting
Covariance
Culture & Development
Data
Econometrics
Economic
Educational Technology and Distance Learning
Environment
Evaluation
Finance and Financial Sector Development
Financial Literacy
Indicators
Information Security and Privacy
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Linear Regression
Logarithms
Macroeconomics and Economic Growth
Matrix
Poverty Reduction
Precision
Pro-Poor Growth
Probab
Probabilities
Science and Technology Development
Statistical and Mathematical Sciences
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