From fbec03fe1cd9b39d9e4c70b5ed88fe328b58019a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20Adjemian=20=28Charybdis=29?=
 <stephane.adjemian@univ-lemans.fr>
Date: Mon, 24 Jun 2013 09:59:32 +0200
Subject: [PATCH] Fixed bug related to the shape of the weights vector in
 paricle filter with pruning.

---
 matlab/particle/sequential_importance_particle_filter.m | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/matlab/particle/sequential_importance_particle_filter.m b/matlab/particle/sequential_importance_particle_filter.m
index adb211511..7d0606504 100644
--- a/matlab/particle/sequential_importance_particle_filter.m
+++ b/matlab/particle/sequential_importance_particle_filter.m
@@ -156,8 +156,8 @@ for t=1:sample_size
     if (strcmp(DynareOptions.particle.resampling.status,'generic') && neff(weights)<DynareOptions.particle.resampling.neff_threshold*sample_size ) || ...
         strcmp(DynareOptions.particle.resampling.status,'systematic')
         if pruning
-            temp = resample([tmp(mf0,:)' tmp_(mf0,:)'],weights,DynareOptions);
-            StateVectors = temp(:,1:number_of_state_variables)' ;
+            temp = resample([tmp(mf0,:)' tmp_(mf0,:)'],weights',DynareOptions);
+            StateVectors = temp(:,1:number_of_state_variables)';
             StateVectors_ = temp(:,number_of_state_variables+1:2*number_of_state_variables)';
         else
             StateVectors = resample(tmp(mf0,:)',weights',DynareOptions)';