From 84d213ea3e705f36871bc8f960d175a330fd71de Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?St=C3=A9phane=20Adjemian=20=28Charybdis=29?=
 <stephane.adjemian@univ-lemans.fr>
Date: Thu, 18 May 2017 23:59:49 +0200
Subject: [PATCH] Fixed copyright notices.

---
 src/auxiliary_initialization.m              | 2 +-
 src/auxiliary_particle_filter.m             | 2 +-
 src/conditional_filter_proposal.m           | 2 +-
 src/conditional_particle_filter.m           | 2 +-
 src/fit_gaussian_mixture.m                  | 2 +-
 src/gaussian_densities.m                    | 2 +-
 src/gaussian_filter.m                       | 2 +-
 src/gaussian_filter_bank.m                  | 2 +-
 src/gaussian_mixture_densities.m            | 2 +-
 src/gaussian_mixture_filter.m               | 2 +-
 src/gaussian_mixture_filter_bank.m          | 2 +-
 src/importance_sampling.m                   | 2 +-
 src/measurement_equations.m                 | 2 +-
 src/multivariate_smooth_resampling.m        | 2 +-
 src/mykmeans.m                              | 2 +-
 src/neff.m                                  | 2 +-
 src/nonlinear_kalman_filter.m               | 2 +-
 src/probability.m                           | 2 +-
 src/probability2.m                          | 2 +-
 src/probability3.m                          | 2 +-
 src/resample.m                              | 2 +-
 src/residual_resampling.m                   | 2 +-
 src/sequential_importance_particle_filter.m | 2 +-
 src/solve_model_for_online_filter.m         | 2 +-
 src/spherical_radial_sigma_points.m         | 2 +-
 src/traditional_resampling.m                | 2 +-
 src/univariate_smooth_resampling.m          | 2 +-
 src/unscented_sigma_points.m                | 2 +-
 28 files changed, 28 insertions(+), 28 deletions(-)

diff --git a/src/auxiliary_initialization.m b/src/auxiliary_initialization.m
index 98f79ae..002a803 100644
--- a/src/auxiliary_initialization.m
+++ b/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).
 %
diff --git a/src/auxiliary_particle_filter.m b/src/auxiliary_particle_filter.m
index 42d57ca..61a43bc 100644
--- a/src/auxiliary_particle_filter.m
+++ b/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).
 %
diff --git a/src/conditional_filter_proposal.m b/src/conditional_filter_proposal.m
index 0c41218..5137b83 100644
--- a/src/conditional_filter_proposal.m
+++ b/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.
 %
diff --git a/src/conditional_particle_filter.m b/src/conditional_particle_filter.m
index 0143777..6216cf1 100644
--- a/src/conditional_particle_filter.m
+++ b/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.
 %
diff --git a/src/fit_gaussian_mixture.m b/src/fit_gaussian_mixture.m
index cc34e66..672c90e 100644
--- a/src/fit_gaussian_mixture.m
+++ b/src/fit_gaussian_mixture.m
@@ -1,6 +1,6 @@
 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.
 %
diff --git a/src/gaussian_densities.m b/src/gaussian_densities.m
index 2246e45..889a5bb 100644
--- a/src/gaussian_densities.m
+++ b/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.
 %
diff --git a/src/gaussian_filter.m b/src/gaussian_filter.m
index d7e82df..e885cce 100644
--- a/src/gaussian_filter.m
+++ b/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.
 %
diff --git a/src/gaussian_filter_bank.m b/src/gaussian_filter_bank.m
index 3e9deb3..fb22996 100644
--- a/src/gaussian_filter_bank.m
+++ b/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.
 %
diff --git a/src/gaussian_mixture_densities.m b/src/gaussian_mixture_densities.m
index 7efe1ce..c826059 100644
--- a/src/gaussian_mixture_densities.m
+++ b/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.
 %
diff --git a/src/gaussian_mixture_filter.m b/src/gaussian_mixture_filter.m
index eaab007..f744210 100644
--- a/src/gaussian_mixture_filter.m
+++ b/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.
 %
diff --git a/src/gaussian_mixture_filter_bank.m b/src/gaussian_mixture_filter_bank.m
index 0171927..9c47b10 100644
--- a/src/gaussian_mixture_filter_bank.m
+++ b/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.
 %
diff --git a/src/importance_sampling.m b/src/importance_sampling.m
index b4a6daf..ae20b02 100644
--- a/src/importance_sampling.m
+++ b/src/importance_sampling.m
@@ -1,6 +1,6 @@
 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.
 %
diff --git a/src/measurement_equations.m b/src/measurement_equations.m
index 7cf4d93..1c386b6 100644
--- a/src/measurement_equations.m
+++ b/src/measurement_equations.m
@@ -1,6 +1,6 @@
 function measure = measurement_equations(StateVectors,ReducedForm,ThreadsOptions)
 
-% Copyright (C) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/multivariate_smooth_resampling.m b/src/multivariate_smooth_resampling.m
index e62111c..01c9208 100644
--- a/src/multivariate_smooth_resampling.m
+++ b/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.
 %
diff --git a/src/mykmeans.m b/src/mykmeans.m
index 4506aca..c39afed 100644
--- a/src/mykmeans.m
+++ b/src/mykmeans.m
@@ -1,6 +1,6 @@
 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.
 %
diff --git a/src/neff.m b/src/neff.m
index 9e02b67..e0fb4f7 100644
--- a/src/neff.m
+++ b/src/neff.m
@@ -1,7 +1,7 @@
 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.
 %
diff --git a/src/nonlinear_kalman_filter.m b/src/nonlinear_kalman_filter.m
index 608fbac..6710e69 100644
--- a/src/nonlinear_kalman_filter.m
+++ b/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.
 %
diff --git a/src/probability.m b/src/probability.m
index 94f09b9..68efb3f 100644
--- a/src/probability.m
+++ b/src/probability.m
@@ -1,6 +1,6 @@
 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.
 %
diff --git a/src/probability2.m b/src/probability2.m
index dfc71ff..268cd03 100644
--- a/src/probability2.m
+++ b/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.
 %
diff --git a/src/probability3.m b/src/probability3.m
index 5e2a9b4..710a842 100644
--- a/src/probability3.m
+++ b/src/probability3.m
@@ -1,6 +1,6 @@
 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.
 %
diff --git a/src/resample.m b/src/resample.m
index 3fee0c3..e29d62e 100644
--- a/src/resample.m
+++ b/src/resample.m
@@ -36,7 +36,7 @@ function resampled_output = resample(particles,weights,ParticleOptions)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011-2013 Dynare Team
+% Copyright (C) 2011-2014 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/residual_resampling.m b/src/residual_resampling.m
index 9a7d8cc..d4d2503 100644
--- a/src/residual_resampling.m
+++ b/src/residual_resampling.m
@@ -30,7 +30,7 @@ function return_resample = residual_resampling(particles,weights,noise)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011-2013 Dynare Team
+% Copyright (C) 2011-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/sequential_importance_particle_filter.m b/src/sequential_importance_particle_filter.m
index 51e0bd7..72a789c 100644
--- a/src/sequential_importance_particle_filter.m
+++ b/src/sequential_importance_particle_filter.m
@@ -2,7 +2,7 @@ function [LIK,lik] = sequential_importance_particle_filter(ReducedForm,Y,start,P
 
 % Evaluates the likelihood of a nonlinear model with a particle filter (optionally with resampling).
 
-% Copyright (C) 2011-2014 Dynare Team
+% Copyright (C) 2011-2015 Dynare Team
 %
 % This file is part of Dynare (particles module).
 %
diff --git a/src/solve_model_for_online_filter.m b/src/solve_model_for_online_filter.m
index 1ea2e67..74d2fd9 100644
--- a/src/solve_model_for_online_filter.m
+++ b/src/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) 2013 Dynare Team
+% Copyright (C) 2013-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/spherical_radial_sigma_points.m b/src/spherical_radial_sigma_points.m
index db71f61..aeaf7d5 100644
--- a/src/spherical_radial_sigma_points.m
+++ b/src/spherical_radial_sigma_points.m
@@ -15,7 +15,7 @@ function [nodes,weights] = spherical_radial_sigma_points(n)
 %
 % NOTES
 %
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/traditional_resampling.m b/src/traditional_resampling.m
index 87f5503..ce6ed90 100644
--- a/src/traditional_resampling.m
+++ b/src/traditional_resampling.m
@@ -33,7 +33,7 @@ function return_resample = traditional_resampling(particles,weights,noise)
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2011-2013 Dynare Team
+% Copyright (C) 2011-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/univariate_smooth_resampling.m b/src/univariate_smooth_resampling.m
index e89b2cc..1a8d104 100644
--- a/src/univariate_smooth_resampling.m
+++ b/src/univariate_smooth_resampling.m
@@ -34,7 +34,7 @@ function new_particles = univariate_smooth_resampling(weights,particles,number_o
 %! @end deftypefn
 %@eod:
 
-% Copyright (C) 2012 Dynare Team
+% Copyright (C) 2012-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
diff --git a/src/unscented_sigma_points.m b/src/unscented_sigma_points.m
index d1cba6e..54c5b0b 100644
--- a/src/unscented_sigma_points.m
+++ b/src/unscented_sigma_points.m
@@ -14,7 +14,7 @@ function [nodes,W_m,W_c] = unscented_sigma_points(n,ParticleOptions)
 %
 % NOTES
 %
-% Copyright (C) 2009-2012 Dynare Team
+% Copyright (C) 2009-2017 Dynare Team
 %
 % This file is part of Dynare.
 %
-- 
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