Fixed copyright notices.

src/auxiliary_initialization.m

@@ -2,7 +2,7 @@ function initial_distribution = auxiliary_initialization(ReducedForm,Y,start,Par
 
 % Evaluates the likelihood of a nonlinear model with a particle filter allowing eventually resampling.
 
-% Copyright (C) 2011-2014 Dynare Team
+% Copyright (C) 2011-2017 Dynare Team
 %
 % This file is part of Dynare (particles module).
 %

src/auxiliary_particle_filter.m

@@ -3,7 +3,7 @@ function [LIK,lik] = auxiliary_particle_filter(ReducedForm,Y,start,ParticleOptio
 % Evaluates the likelihood of a nonlinear model with the auxiliary particle filter
 % allowing eventually resampling.
 %
-% Copyright (C) 2011-2015 Dynare Team
+% Copyright (C) 2011-2017 Dynare Team
 %
 % This file is part of Dynare (particles module).
 %

src/conditional_filter_proposal.m

@@ -18,7 +18,7 @@ function [ProposalStateVector,Weights] = conditional_filter_proposal(ReducedForm
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2012-2013 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/conditional_particle_filter.m

@@ -37,7 +37,7 @@ function [LIK,lik] = conditional_particle_filter(ReducedForm,Y,start,ParticleOpt
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2010 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/fit_gaussian_mixture.m

 function [StateMu,StateSqrtP,StateWeights] = fit_gaussian_mixture(X,X_weights,StateMu,StateSqrtP,StateWeights,crit,niters,check)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_densities.m

@@ -19,7 +19,7 @@ function IncrementalWeights = gaussian_densities(obs,mut_t,sqr_Pss_t_t,st_t_1,sq
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2010 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_filter.m

@@ -30,7 +30,7 @@ function [LIK,lik] = gaussian_filter(ReducedForm, Y, start, ParticleOptions, Thr
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2015 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_filter_bank.m

@@ -19,7 +19,7 @@ function [PredictedStateMean,PredictedStateVarianceSquareRoot,StateVectorMean,St
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_mixture_densities.m

@@ -21,7 +21,7 @@ function  IncrementalWeights = gaussian_mixture_densities(obs,StateMuPrior,State
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_mixture_filter.m

@@ -35,7 +35,7 @@ function [LIK,lik] = gaussian_mixture_filter(ReducedForm,Y,start,ParticleOptions
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2013 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/gaussian_mixture_filter_bank.m

@@ -23,7 +23,7 @@ function [StateMuPrior,StateSqrtPPrior,StateWeightsPrior,StateMuPost,StateSqrtPP
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/importance_sampling.m

 function State_Particles = importance_sampling(StateMuPost,StateSqrtPPost,StateWeightsPost,numP)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/measurement_equations.m

 function measure = measurement_equations(StateVectors,ReducedForm,ThreadsOptions)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/multivariate_smooth_resampling.m

@@ -38,7 +38,7 @@ function new_particles = multivariate_smooth_resampling(particles,weights)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012-2013 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/mykmeans.m

 function [c,SqrtVariance,Weights] = mykmeans(x,g,init,cod)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/neff.m

 function n = neff(w)
 % Evaluates the criterion for resampling
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2014 Dynare Team
 %
 % This file is part of Dynare.
 %

src/nonlinear_kalman_filter.m

@@ -30,7 +30,7 @@ function [LIK,lik] = nonlinear_kalman_filter(ReducedForm, Y, start, ParticleOpti
 %
 % NOTES
 %   The vector "lik" is used to evaluate the jacobian of the likelihood.
-% Copyright (C) 2009-2015 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/probability.m

 function [prior,likelihood,C,posterior] = probability(mu,sqrtP,prior,X)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/probability2.m

@@ -14,7 +14,7 @@ function [density] = probability2(mu,S,X)
 %
 % NOTES
 %
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %

src/probability3.m

 function [prior,likelihood,C,posterior] = probability3(mu,sqrtP,prior,X,X_weights)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %