Selected article for: "inclusion probability and posterior probability"

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_29
    Snippet: In the estimation procedure we a priori assume that the "true" model consists of the baseline model and 3 additional independent variables. This implies that the prior inclusion probability of each potential determinant is around 0.09. Hence, we can divide the determinants into four groups according to their posterior inclusion probability value [74] ......
    Document: In the estimation procedure we a priori assume that the "true" model consists of the baseline model and 3 additional independent variables. This implies that the prior inclusion probability of each potential determinant is around 0.09. Hence, we can divide the determinants into four groups according to their posterior inclusion probability value [74] .

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