function [xparams,lpd,hessian_mat] = ...
    maximize_prior_density(iparams, prior_shape, prior_hyperparameter_1, prior_hyperparameter_2, prior_inf_bound, prior_sup_bound,options_,M_,bayestopt_,estim_params_,oo_)
% Maximizes the logged prior density using Chris Sims' optimization routine.
%
% INPUTS
%   iparams                        [double]   vector of initial parameters.
%   prior_shape                    [integer]  vector specifying prior densities shapes.
%   prior_hyperparameter_1         [double]   vector, first hyperparameter.
%   prior_hyperparameter_2         [double]   vector, second hyperparameter.
%   prior_inf_bound                [double]   vector, prior's lower bound.
%   prior_sup_bound                [double]   vector, prior's upper bound.
%   options_                       [structure] describing the options
%   bayestopt_                     [structure] describing the priors
%   M_                             [structure] describing the model
%   estim_params_                  [structure] characterizing parameters to be estimated
%   oo_                            [structure] storing the results
%
% OUTPUTS
%   xparams       [double]  vector, prior mode.
%   lpd           [double]  scalar, value of the logged prior density at the mode.
%   hessian_mat   [double]  matrix, Hessian matrix at the prior mode.

% Copyright © 2009-2023 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/>.

[xparams, lpd, exitflag, hessian_mat]=dynare_minimize_objective('minus_logged_prior_density', ...
                                                  iparams, options_.mode_compute, options_, [prior_inf_bound, prior_sup_bound], ...
                                                  bayestopt_.name, bayestopt_, [], ...
                                                  prior_shape, prior_hyperparameter_1, prior_hyperparameter_2, prior_inf_bound, prior_sup_bound, ...
                                                  options_,M_,estim_params_,oo_);

lpd = -lpd;