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and fit the observations) and predicted evidence (i.e., when evidence verifies the prediction of a hypothesis formulated …The difference between accommodated evidence (i.e. when evidence is known first and a hypothesis is proposed to explain … before observing the evidence) is investigated. According to Bayesian confirmation theory, accommodated and predicted …
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We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. In this context, Bayesian Model Averaging presents a formal Bayesian...
Persistent link: https://www.econbiz.de/10009650656
We examine the issue of variable selection in linear regression modeling, where we have a potentially large amount of possible covariates and economic theory offers insufficient guidance on how to select the appropriate subset. Bayesian Model Averaging presents a formal Bayesian solution to...
Persistent link: https://www.econbiz.de/10008740557
We consider the problem of variable selection in linear regression models. Bayesian model averaging has become an important tool in empirical settings with large numbers of potential regressors and relatively limited numbers of observations. We examine the effect of a variety of prior...
Persistent link: https://www.econbiz.de/10008497674
, containing information from both the local model and the ergodic distribution. For a small prediction horizon, if the local model …
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regressors for explaining cross-country growth patterns. However, care should be taken in the methodology employed. The approach …
Persistent link: https://www.econbiz.de/10005407952