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function optimize_prior(DynareOptions, ModelInfo, DynareResults, BayesInfo, EstimationInfo)
% This routine computes the mode of the prior density using an optimization algorithm.
% Copyright (C) 2015-2017 Dynare Team
%
% This file is part of Dynare.
%
% Dynare is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% Dynare is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with Dynare. If not, see <https://www.gnu.org/licenses/>.
% Initialize to the prior mean
DynareResults.dr = set_state_space(DynareResults.dr,ModelInfo,DynareOptions);
xparam1 = BayesInfo.p1;
% Pertubation of the initial condition.
look_for_admissible_initial_condition = 1; scale = 1.0; iter = 0;
while look_for_admissible_initial_condition
xinit = xparam1+scale*randn(size(xparam1));
if all(xinit(:)>BayesInfo.p3) && all(xinit(:)<BayesInfo.p4)
ModelInfo = set_all_parameters(xinit,EstimationInfo,ModelInfo);
[dr,INFO,ModelInfo,DynareResults] = resol(0,ModelInfo,DynareOptions,DynareResults);
if ~INFO(1)
look_for_admissible_initial_condition = 0;
end
else
if iter == 2000
scale = scale/1.1;
iter = 0;
else
iter = iter+1;
end
end
end
% Maximization of the prior density
[xparams, lpd, hessian_mat] = ...
maximize_prior_density(xinit, BayesInfo.pshape, ...
BayesInfo.p6, ...
BayesInfo.p7, ...
BayesInfo.p3, ...
BayesInfo.p4,DynareOptions,ModelInfo,BayesInfo,EstimationInfo,DynareResults);
% Display the results.
skipline(2)
disp('------------------')
disp('PRIOR OPTIMIZATION')
disp('------------------')
skipline()
for i = 1:length(xparams)
disp(['deep parameter ' int2str(i) ': ' get_the_name(i,0,ModelInfo,EstimationInfo,DynareOptions) '.'])
disp([' Initial condition ....... ' num2str(xinit(i)) '.'])
disp([' Prior mode .............. ' num2str(BayesInfo.p5(i)) '.'])
disp([' Optimized prior mode .... ' num2str(xparams(i)) '.'])
skipline()
end
skipline()
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