fix copyright dates

matlab/particle/auxiliary_initialization.m

@@ -20,7 +20,7 @@ function initial_distribution = auxiliary_initialization(ReducedForm,Y,start,Dyn
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/auxiliary_particle_filter.m

@@ -20,7 +20,7 @@ function [LIK,lik] = auxiliary_particle_filter(ReducedForm,Y,start,DynareOptions
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2011-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/gaussian_filter.m

@@ -34,7 +34,7 @@ function [LIK,lik] = gaussian_filter(ReducedForm,Y,start,DynareOptions)
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2010 Dynare Team
+% Copyright (C) 2009-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/gaussian_mixture_filter.m

@@ -36,7 +36,7 @@ function [LIK,lik] = gaussian_mixture_filter(ReducedForm,Y,start,DynareOptions)
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/index_resample.m

@@ -34,7 +34,7 @@ function resampling_index = index_resample(particles,weights,DynareOptions)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/multivariate_smooth_resampling.m

@@ -38,7 +38,7 @@ function new_particles = multivariate_smooth_resampling(particles,weights)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012 Dynare Team
+% Copyright (C) 2012-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/resample.m

@@ -34,7 +34,7 @@ function resampled_particles = resample(particles,weights,DynareOptions)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2011-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/residual_resampling.m

@@ -30,7 +30,7 @@ function return_resample = residual_resampling(particles,weights,noise)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2011-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/sequential_importance_particle_filter.m

@@ -38,7 +38,7 @@ function [LIK,lik] = sequential_importance_particle_filter(ReducedForm,Y,start,D
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2011-2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/solve_model_for_online_filter.m

@@ -101,7 +101,7 @@ function [ys,trend_coeff,exit_flag,info,Model,DynareOptions,BayesInfo,DynareResu
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2010-2012 Dynare Team
+% Copyright (C) 2013 Dynare Team
 %
 % This file is part of Dynare.
 %

matlab/particle/traditional_resampling.m

@@ -33,7 +33,7 @@ function return_resample = traditional_resampling(particles,weights,noise)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011, 2012 Dynare Team
+% Copyright (C) 2011-2013 Dynare Team
 %
 % This file is part of Dynare.
 %