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Use Unicode copyright symbol (in UTF-8 encoding) in all source files 

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rm-particles^2
Sébastien Villemot 2022-04-13 14:47:52 +02:00
parent 4942488287
commit d71f8be6e7
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27 changed files with 27 additions and 27 deletions
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2
src/auxiliary_initialization.m
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@ -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) 2011-2017 Dynare Team
% Copyright © 2011-2017 Dynare Team
%
% This file is part of Dynare (particles module).
%

2
src/auxiliary_particle_filter.m
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@ -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) 2011-2022 Dynare Team
% Copyright © 2011-2022 Dynare Team
%
% This file is part of Dynare (particles module).
%

2
src/conditional_particle_filter.m
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@ -35,7 +35,7 @@ function [LIK,lik] = conditional_particle_filter(ReducedForm, Y, s, ParticleOpti
% it has been derived in a linear context and is implemented in a nonlinear
% context. That is why particle resampling is performed.
% Copyright (C) 2009-2020 Dynare Team
% Copyright © 2009-2020 Dynare Team
%
% This file is part of Dynare.
%

2
src/fit_gaussian_mixture.m
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@ -1,6 +1,6 @@
function [StateMu,StateSqrtP,StateWeights] = fit_gaussian_mixture(X,X_weights,StateMu,StateSqrtP,StateWeights,crit,niters,check)
% Copyright (C) 2013-2017 Dynare Team
% Copyright © 2013-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_densities.m
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@ -20,7 +20,7 @@ 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) 2009-2019 Dynare Team
% Copyright © 2009-2019 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_filter.m
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@ -32,7 +32,7 @@ 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) 2009-2019 Dynare Team
% Copyright © 2009-2019 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_filter_bank.m
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@ -22,7 +22,7 @@ function [PredictedStateMean, PredictedStateVarianceSquareRoot, StateVectorMean,
% NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood.
% Copyright (C) 2009-2022 Dynare Team
% Copyright © 2009-2022 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_mixture_densities.m
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@ -22,7 +22,7 @@ function IncrementalWeights = gaussian_mixture_densities(obs, StateMuPrior, Sta
% NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood.
% Copyright (C) 2009-2019 Dynare Team
% Copyright © 2009-2019 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_mixture_filter.m
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@ -36,7 +36,7 @@ function [LIK, lik] = gaussian_mixture_filter(ReducedForm, Y, start, ParticleOpt
%
% NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood.
% Copyright (C) 2009-2017 Dynare Team
% Copyright © 2009-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/gaussian_mixture_filter_bank.m
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@ -24,7 +24,7 @@ function [StateMuPrior,StateSqrtPPrior,StateWeightsPrior,StateMuPost,StateSqrtPP
% NOTES
% The vector "lik" is used to evaluate the jacobian of the likelihood.
% Copyright (C) 2009-2022 Dynare Team
% Copyright © 2009-2022 Dynare Team
%
% This file is part of Dynare.
%

2
src/importance_sampling.m
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@ -1,6 +1,6 @@
function State_Particles = importance_sampling(StateMuPost,StateSqrtPPost,StateWeightsPost,numP)
% Copyright (C) 2013-2017 Dynare Team
% Copyright © 2013-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/measurement_equations.m
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@ -1,6 +1,6 @@
function measure = measurement_equations(StateVectors,ReducedForm,ThreadsOptions, DynareOptions, Model)
% Copyright (C) 2013-2022 Dynare Team
% Copyright © 2013-2022 Dynare Team
%
% This file is part of Dynare.
%

2
src/multivariate_smooth_resampling.m
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@ -38,7 +38,7 @@ function new_particles = multivariate_smooth_resampling(particles,weights)
%! @end deftypefn
%@eod:
% Copyright (C) 2012-2017 Dynare Team
% Copyright © 2012-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/mykmeans.m
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@ -1,6 +1,6 @@
function [c,SqrtVariance,Weights] = mykmeans(x,g,init,cod)
% Copyright (C) 2013-2017 Dynare Team
% Copyright © 2013-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/neff.m
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@ -1,7 +1,7 @@
function n = neff(w)
% Evaluates the criterion for resampling
% Copyright (C) 2013-2014 Dynare Team
% Copyright © 2013-2014 Dynare Team
%
% This file is part of Dynare.
%

2
src/nonlinear_kalman_filter.m
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@ -32,7 +32,7 @@ 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) 2009-2022 Dynare Team
% Copyright © 2009-2022 Dynare Team
%
% This file is part of Dynare.
%

2
src/probability.m
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@ -1,6 +1,6 @@
function [prior,likelihood,C,posterior] = probability(mu,sqrtP,prior,X)
% Copyright (C) 2013-2017 Dynare Team
% Copyright © 2013-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/probability2.m
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@ -14,7 +14,7 @@ function [density] = probability2(mu,S,X)
%
% NOTES
%
% Copyright (C) 2009-2017 Dynare Team
% Copyright © 2009-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/probability3.m
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@ -1,6 +1,6 @@
function [prior,likelihood,C,posterior] = probability3(mu,sqrtP,prior,X,X_weights)
% Copyright (C) 2013-2017 Dynare Team
% Copyright © 2013-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/resample.m
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@ -36,7 +36,7 @@ function resampled_output = resample(particles,weights,ParticleOptions)
%! @end deftypefn
%@eod:
% Copyright (C) 2011-2014 Dynare Team
% Copyright © 2011-2014 Dynare Team
%
% This file is part of Dynare.
%

2
src/residual_resampling.m
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@ -30,7 +30,7 @@ function return_resample = residual_resampling(particles,weights,noise)
%! @end deftypefn
%@eod:
% Copyright (C) 2011-2017 Dynare Team
% Copyright © 2011-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/sequential_importance_particle_filter.m
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@ -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) 2011-2022 Dynare Team
% Copyright © 2011-2022 Dynare Team
%
% This file is part of Dynare (particles module).
%

2
src/solve_model_for_online_filter.m
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@ -20,7 +20,7 @@ function [info, Model, DynareOptions, DynareResults, ReducedForm] = ...
% - DynareResults [struct] Dynare results (oo_).
% - ReducedForm [struct] Reduced form model.
% Copyright (C) 2013-2022 Dynare Team
% Copyright © 2013-2022 Dynare Team
%
% This file is part of Dynare.
%

2
src/spherical_radial_sigma_points.m
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@ -15,7 +15,7 @@ function [nodes,weights] = spherical_radial_sigma_points(n)
%
% NOTES
%
% Copyright (C) 2009-2017 Dynare Team
% Copyright © 2009-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/traditional_resampling.m
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@ -33,7 +33,7 @@ function return_resample = traditional_resampling(particles,weights,noise)
%! @end deftypefn
%@eod:
% Copyright (C) 2011-2017 Dynare Team
% Copyright © 2011-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/univariate_smooth_resampling.m
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@ -34,7 +34,7 @@ function new_particles = univariate_smooth_resampling(weights,particles,number_o
%! @end deftypefn
%@eod:
% Copyright (C) 2012-2017 Dynare Team
% Copyright © 2012-2017 Dynare Team
%
% This file is part of Dynare.
%

2
src/unscented_sigma_points.m
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@ -14,7 +14,7 @@ function [nodes,W_m,W_c] = unscented_sigma_points(n,ParticleOptions)
%
% NOTES
%
% Copyright (C) 2009-2017 Dynare Team
% Copyright © 2009-2017 Dynare Team
%
% This file is part of Dynare.
%