Fix #1914.

Also the first input argument of was wrong (we do not pass bayestopt_
anymore but only the list of estimated parameter names, field `name`).

matlab/estimation/check_posterior_sampler_options.m

@@ -464,12 +464,10 @@ if ~strcmp(posterior_sampler_options.posterior_sampling_method,'slice')
 end
 
 if options_.load_mh_file && posterior_sampler_options.use_mh_covariance_matrix
-    [~, invhess] = compute_mh_covariance_matrix(bayestopt_,fname,dname,outputFolderName);
+    [~, invhess] = compute_posterior_covariance_matrix(bayestopt_.name, fname, dname, outputFolderName);
     posterior_sampler_options.invhess = invhess;
 end
 
-
-
 % check specific options for slice sampler
 if strcmp(posterior_sampler_options.posterior_sampling_method,'slice')
     invhess = posterior_sampler_options.invhess;

matlab/estimation/marginal_density.m

@@ -51,7 +51,7 @@ TotalNumberOfMhDraws = sum(record.MhDraws(:,1));
 TODROP = floor(options_.mh_drop*TotalNumberOfMhDraws);
 
 fprintf('marginal density: I''m computing the posterior mean and covariance... ');
-[posterior_mean,posterior_covariance,posterior_mode,posterior_kernel_at_the_mode] = compute_mh_covariance_matrix(bayestopt_,M_.fname,M_.dname,outputFolderName);
+[posterior_mean, posterior_covariance, posterior_mode, posterior_kernel_at_the_mode] = compute_posterior_covariance_matrix(bayestopt_.name, M_.fname, M_.dname, outputFolderName);
 
 MU = transpose(posterior_mean);
 SIGMA = posterior_covariance;