changed variable name to make clear that, for multinormal variables, we are...

changed variable name to make clear that, for multinormal variables, we are using the Cholesky decomposition of the covariance matrix.

matlab/random_walk_metropolis_hastings_core.m

@@ -121,12 +121,12 @@ end
 if any(isnan(bayestopt_.jscale))
     if exist([ModelName '_optimal_mh_scale_parameter.mat'])% This file is created by mode_compute=6.
         load([ModelName '_optimal_mh_scale_parameter'])
-        proposal_covariance = d*Scale;
+        proposal_covariance_Choleksy_decomposition = d*Scale;
     else
         error('mh:: Something is wrong. I can''t figure out the value of the scale parameter.')
     end
 else
-    proposal_covariance = d*diag(bayestopt_.jscale);
+    proposal_covariance_Cholesky_decomposition = d*diag(bayestopt_.jscale);
 end
 
 
@@ -169,7 +169,7 @@ for b = fblck:nblck,
     irun = fline(b);
     j = 1;
     while j <= nruns(b)
-        par = feval(ProposalFun, ix2(b,:), proposal_covariance, n);
+        par = feval(ProposalFun, ix2(b,:), proposal_covariance_Cholesky_decomposition, n);
         if all( par(:) > mh_bounds(:,1) ) & all( par(:) < mh_bounds(:,2) )
             try
                 logpost = - feval(TargetFun, par(:),varargin{:});