47 lines
2.5 KiB
Matlab
47 lines
2.5 KiB
Matlab
function [xparams,lpd,hessian_mat] = ...
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maximize_prior_density(iparams, prior_shape, prior_hyperparameter_1, prior_hyperparameter_2, prior_inf_bound, prior_sup_bound,options_,M_,bayestopt_,estim_params_,oo_)
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% Maximizes the logged prior density using Chris Sims' optimization routine.
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%
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% INPUTS
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% iparams [double] vector of initial parameters.
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% prior_shape [integer] vector specifying prior densities shapes.
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% prior_hyperparameter_1 [double] vector, first hyperparameter.
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% prior_hyperparameter_2 [double] vector, second hyperparameter.
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% prior_inf_bound [double] vector, prior's lower bound.
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% prior_sup_bound [double] vector, prior's upper bound.
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% options_ [structure] describing the options
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% bayestopt_ [structure] describing the priors
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% M_ [structure] describing the model
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% estim_params_ [structure] characterizing parameters to be estimated
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% oo_ [structure] storing the results
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%
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% OUTPUTS
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% xparams [double] vector, prior mode.
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% lpd [double] scalar, value of the logged prior density at the mode.
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% hessian_mat [double] matrix, Hessian matrix at the prior mode.
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% Copyright © 2009-2023 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
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[xparams, lpd, exitflag, hessian_mat]=dynare_minimize_objective('minus_logged_prior_density', ...
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iparams, options_.mode_compute, options_, [prior_inf_bound, prior_sup_bound], ...
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bayestopt_.name, bayestopt_, [], ...
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prior_shape, prior_hyperparameter_1, prior_hyperparameter_2, prior_inf_bound, prior_sup_bound, ...
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options_,M_,estim_params_,oo_);
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lpd = -lpd;
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