Fix computation of prior mode for uniform distribution
While this code is never actually used, we return the prior mean, which is directly given by the first hyperparameter.time-shift
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@ -22,7 +22,7 @@ function m = compute_prior_mode(hyperparameters,shape)
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% [3] The uniform distribution has an infinity of modes. In this case the function returns the prior mean.
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% [3] The uniform distribution has an infinity of modes. In this case the function returns the prior mean.
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% [4] For the beta distribution we can have 1, 2 or an infinity of modes.
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% [4] For the beta distribution we can have 1, 2 or an infinity of modes.
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% Copyright (C) 2009 Dynare Team
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% Copyright (C) 2009-2015 Dynare Team
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%
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%
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% This file is part of Dynare.
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% This file is part of Dynare.
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%
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%
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@ -74,7 +74,7 @@ switch shape
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m = m + hyperparameters(3);
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m = m + hyperparameters(3);
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end
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end
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case 5
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case 5
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m = .5*(hyperparameters(2)-hyperparameters(1)) ;
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m = hyperparameters(1);
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case 6
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case 6
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% s = hyperparameters(1)
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% s = hyperparameters(1)
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% nu = hyperparameters(2)
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% nu = hyperparameters(2)
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