Bug fix for the case where no prior is defined for estim params

matlab/evaluate_likelihood.m

@@ -73,10 +73,23 @@ if isempty(dataset)
 end
 options_=select_qz_criterium_value(options_);
 
+[~,~,~,lb,ub] = set_prior(estim_params_,M_,options_);
+if ~isempty(bayestopt_) && any(bayestopt_.pshape > 0)
+    % Plot prior densities.
+    % Set prior bounds
+    bounds = prior_bounds(bayestopt_, options_.prior_trunc);
+else  % estimated parameters but no declared priors
+    % No priors are declared so Dynare will estimate the model by
+    % maximum likelihood with inequality constraints for the parameters.
+    bounds.lb = lb;
+    bounds.ub = ub;
+end
+
+
 if options_.occbin.likelihood.status && options_.occbin.likelihood.inversion_filter
-    llik = -occbin.IVF_posterior(parameters,dataset,dataset_info,options_,M_,estim_params_,bayestopt_,prior_bounds(bayestopt_,options_.prior_trunc),oo_);
+    llik = -occbin.IVF_posterior(parameters,dataset,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_);
 else
-    llik = -dsge_likelihood(parameters,dataset,dataset_info,options_,M_,estim_params_,bayestopt_,prior_bounds(bayestopt_,options_.prior_trunc),oo_);
+    llik = -dsge_likelihood(parameters,dataset,dataset_info,options_,M_,estim_params_,bayestopt_,bounds,oo_);
 end
 ldens = evaluate_prior(parameters,M_,estim_params_,oo_,options_,bayestopt_);
 llik = llik - ldens;
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