Commit 84d213ea authored by Stéphane Adjemian's avatar Stéphane Adjemian
Browse files

Fixed copyright notices.

parent 4921000f
...@@ -2,7 +2,7 @@ function initial_distribution = auxiliary_initialization(ReducedForm,Y,start,Par ...@@ -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. % 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). % This file is part of Dynare (particles module).
% %
......
...@@ -3,7 +3,7 @@ function [LIK,lik] = auxiliary_particle_filter(ReducedForm,Y,start,ParticleOptio ...@@ -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 % Evaluates the likelihood of a nonlinear model with the auxiliary particle filter
% allowing eventually resampling. % allowing eventually resampling.
% %
% Copyright (C) 2011-2015 Dynare Team % Copyright (C) 2011-2017 Dynare Team
% %
% This file is part of Dynare (particles module). % This file is part of Dynare (particles module).
% %
......
...@@ -18,7 +18,7 @@ function [ProposalStateVector,Weights] = conditional_filter_proposal(ReducedForm ...@@ -18,7 +18,7 @@ function [ProposalStateVector,Weights] = conditional_filter_proposal(ReducedForm
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -37,7 +37,7 @@ function [LIK,lik] = conditional_particle_filter(ReducedForm,Y,start,ParticleOpt ...@@ -37,7 +37,7 @@ function [LIK,lik] = conditional_particle_filter(ReducedForm,Y,start,ParticleOpt
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
function [StateMu,StateSqrtP,StateWeights] = fit_gaussian_mixture(X,X_weights,StateMu,StateSqrtP,StateWeights,crit,niters,check) 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. % This file is part of Dynare.
% %
......
...@@ -19,7 +19,7 @@ function IncrementalWeights = gaussian_densities(obs,mut_t,sqr_Pss_t_t,st_t_1,sq ...@@ -19,7 +19,7 @@ function IncrementalWeights = gaussian_densities(obs,mut_t,sqr_Pss_t_t,st_t_1,sq
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -30,7 +30,7 @@ function [LIK,lik] = gaussian_filter(ReducedForm, Y, start, ParticleOptions, Thr ...@@ -30,7 +30,7 @@ function [LIK,lik] = gaussian_filter(ReducedForm, Y, start, ParticleOptions, Thr
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -19,7 +19,7 @@ function [PredictedStateMean,PredictedStateVarianceSquareRoot,StateVectorMean,St ...@@ -19,7 +19,7 @@ function [PredictedStateMean,PredictedStateVarianceSquareRoot,StateVectorMean,St
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -21,7 +21,7 @@ function IncrementalWeights = gaussian_mixture_densities(obs,StateMuPrior,State ...@@ -21,7 +21,7 @@ function IncrementalWeights = gaussian_mixture_densities(obs,StateMuPrior,State
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -35,7 +35,7 @@ function [LIK,lik] = gaussian_mixture_filter(ReducedForm,Y,start,ParticleOptions ...@@ -35,7 +35,7 @@ function [LIK,lik] = gaussian_mixture_filter(ReducedForm,Y,start,ParticleOptions
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
...@@ -23,7 +23,7 @@ function [StateMuPrior,StateSqrtPPrior,StateWeightsPrior,StateMuPost,StateSqrtPP ...@@ -23,7 +23,7 @@ function [StateMuPrior,StateSqrtPPrior,StateWeightsPrior,StateMuPost,StateSqrtPP
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
function State_Particles = importance_sampling(StateMuPost,StateSqrtPPost,StateWeightsPost,numP) 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. % This file is part of Dynare.
% %
......
function measure = measurement_equations(StateVectors,ReducedForm,ThreadsOptions) function measure = measurement_equations(StateVectors,ReducedForm,ThreadsOptions)
% Copyright (C) 2013 Dynare Team % Copyright (C) 2013-2017 Dynare Team
% %
% This file is part of Dynare. % This file is part of Dynare.
% %
......
...@@ -38,7 +38,7 @@ function new_particles = multivariate_smooth_resampling(particles,weights) ...@@ -38,7 +38,7 @@ function new_particles = multivariate_smooth_resampling(particles,weights)
%! @end deftypefn %! @end deftypefn
%@eod: %@eod:
% Copyright (C) 2012-2013 Dynare Team % Copyright (C) 2012-2017 Dynare Team
% %
% This file is part of Dynare. % This file is part of Dynare.
% %
......
function [c,SqrtVariance,Weights] = mykmeans(x,g,init,cod) 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. % This file is part of Dynare.
% %
......
function n = neff(w) function n = neff(w)
% Evaluates the criterion for resampling % Evaluates the criterion for resampling
% Copyright (C) 2013 Dynare Team % Copyright (C) 2013-2014 Dynare Team
% %
% This file is part of Dynare. % This file is part of Dynare.
% %
......
...@@ -30,7 +30,7 @@ function [LIK,lik] = nonlinear_kalman_filter(ReducedForm, Y, start, ParticleOpti ...@@ -30,7 +30,7 @@ function [LIK,lik] = nonlinear_kalman_filter(ReducedForm, Y, start, ParticleOpti
% %
% NOTES % NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood. % 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. % This file is part of Dynare.
% %
......
function [prior,likelihood,C,posterior] = probability(mu,sqrtP,prior,X) 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. % This file is part of Dynare.
% %
......
...@@ -14,7 +14,7 @@ function [density] = probability2(mu,S,X) ...@@ -14,7 +14,7 @@ function [density] = probability2(mu,S,X)
% %
% NOTES % NOTES
% %
% Copyright (C) 2009-2012 Dynare Team % Copyright (C) 2009-2017 Dynare Team
% %
% This file is part of Dynare. % This file is part of Dynare.
% %
......
function [prior,likelihood,C,posterior] = probability3(mu,sqrtP,prior,X,X_weights) 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. % This file is part of Dynare.
% %
......
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