add variance to prior statement, remove stdev from another prior statement
parent
c21b7d9b34
commit
5c1488fe23
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@ -23,14 +23,14 @@ b = tau*a(-1)+rho*b(-1) + u;
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end;
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markov_switching(chain=1, number_of_regimes=2, duration=2.5, parameters=[alpha, delta, theta], number_of_lags=1);
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alpha.prior(shape=gamma, mean=3.22);
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rho.prior(shape=uniform, mean=322,variance=2^.33,domain=[0.36 , 0.88]);
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std(e).prior(shape=beta,mean=0.3,variance=0.1^2,domain=[-0.1 006]);
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std(y).prior(shape=beta,mean=0.3,variance=0.1^2,domain=[01 4]);
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std(c).prior(shape=beta,mean=0.3,variance=0.1^2,stdev=0.2);
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corr(y,c).prior(shape=beta,mean=0.3,variance=0.1^2,mode=33);
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corr(b,c).prior(shape=beta,mean=0.3,variance=0.1^2);
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corr(e,u).prior(shape=beta,mean=0.3,variance=0.1^2);
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alpha.prior (shape=gamma, mean=3.22, variance=0.1^2);
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rho.prior (shape=uniform, mean=322, variance=2^.33, domain=[0.36, 0.88]);
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std(e).prior (shape=beta, mean=0.3, variance=0.1^2, domain=[-0.1 006]);
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std(y).prior (shape=beta, mean=0.3, variance=0.1^2, domain=[01 4]);
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std(c).prior (shape=beta, mean=0.3, variance=0.1^2);
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corr(y,c).prior(shape=beta, mean=0.3, variance=0.1^2, mode=33);
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corr(b,c).prior(shape=beta, mean=0.3, variance=0.1^2);
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corr(e,u).prior(shape=beta, mean=0.3, variance=0.1^2);
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alpha.options(init=1);
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rho.options(init=1);
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beta.options(init=0.2);
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