Selected article for: "model parameter and posterior probability distribution"
Author: Viktor Stojkoski; Zoran Utkovski; Petar Jolakoski; Dragan Tevdovski; Ljupco Kocarev
Title: The socio-economic determinants of the coronavirus disease (COVID-19) pandemic
  • Document date: 2020_4_17
    • ID: 80zg1rdz_9
    Snippet: A central question which arises is the selection of the independent variables in M m . While the literature review offers a comprehensive overview of all potential determinants, in reality we are never certain of their credibility. In order to circumvent the problem of choosing a model and potentially ending up with a wrong selection, we resort to the technique of Bayesian Model Averaging (BMA). BMA leverages Bayesian statistics to account for mo.....
    Document: A central question which arises is the selection of the independent variables in M m . While the literature review offers a comprehensive overview of all potential determinants, in reality we are never certain of their credibility. In order to circumvent the problem of choosing a model and potentially ending up with a wrong selection, we resort to the technique of Bayesian Model Averaging (BMA). BMA leverages Bayesian statistics to account for model uncertainty by estimating each possible model, and thus evaluating the posterior distribution of each parameter value and probability that a particular model is the correct one [18] .

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