Fix auxiliary_particle_filter.m: strange iteration range `for i=1:size(nodes)`
All hunks depending on this loop amendedremove-submodule^2
parent
bb4bf5fcd6
commit
3127476494
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@ -24,6 +24,8 @@ function [LIK,lik] = auxiliary_particle_filter(ReducedForm,Y,start,ParticleOptio
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if isempty(start)
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start = 1;
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end
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% Get perturbation order
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order = DynareOptions.order;
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% Set flag for prunning
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pruning = ParticleOptions.pruning;
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@ -36,6 +38,7 @@ state_variables_steady_state = ReducedForm.state_variables_steady_state;
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mf0 = ReducedForm.mf0;
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mf1 = ReducedForm.mf1;
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sample_size = size(Y,2);
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number_of_state_variables = length(mf0);
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number_of_observed_variables = length(mf1);
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number_of_structural_innovations = length(ReducedForm.Q);
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number_of_particles = ParticleOptions.number_of_particles;
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@ -76,33 +79,32 @@ weights = ones(1,number_of_particles)/number_of_particles ;
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StateVectors = bsxfun(@plus,StateVectorVarianceSquareRoot*randn(state_variance_rank,number_of_particles),StateVectorMean);
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%StateVectors = bsxfun(@plus,zeros(state_variance_rank,number_of_particles),StateVectorMean);
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if pruning
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StateVectors_ = StateVectors;
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if order == 2
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StateVectors_ = StateVectors;
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state_variables_steady_state_ = state_variables_steady_state;
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mf0_ = mf0;
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else
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error('Pruning is not available for orders > 2');
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end
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end
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nodes = zeros(1,number_of_structural_innovations) ;
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nodes_weights = ones(number_of_structural_innovations,1) ;
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for t=1:sample_size
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yhat = bsxfun(@minus,StateVectors,state_variables_steady_state);
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if pruning
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yhat_ = bsxfun(@minus,StateVectors_,state_variables_steady_state);
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tmp = 0 ;
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tmp_ = 0 ;
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for i=1:size(nodes)
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[tmp1, tmp1_] = local_state_space_iteration_2(yhat,nodes(i,:)'*ones(1,number_of_particles),ghx,ghu,constant,ghxx,ghuu,ghxu,yhat_,steadystate,ThreadsOptions.local_state_space_iteration_2);
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tmp = tmp + nodes_weights(i)*tmp1 ;
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tmp_ = tmp_ + nodes_weights(i)*tmp1_ ;
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yhat_ = bsxfun(@minus,StateVectors_,state_variables_steady_state_);
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if order == 2
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[tmp, tmp_] = local_state_space_iteration_2(yhat,zeros(number_of_structural_innovations,number_of_particles),ghx,ghu,constant,ghxx,ghuu,ghxu,yhat_,steadystate,ThreadsOptions.local_state_space_iteration_2);
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else
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error('Pruning is not available for orders > 2');
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end
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else
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if ReducedForm.use_k_order_solver
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tmp = 0;
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for i=1:size(nodes)
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tmp = tmp + nodes_weights(i)*local_state_space_iteration_k(yhat, nodes(i,:)'*ones(1,number_of_particles), dr, Model, DynareOptions, udr);
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end
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tmp = local_state_space_iteration_k(yhat, zeros(number_of_structural_innovations,number_of_particles), dr, Model, DynareOptions, udr);
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else
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tmp = 0;
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for i=1:size(nodes)
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tmp = tmp + nodes_weights(i)*local_state_space_iteration_2(yhat,nodes(i,:)'*ones(1,number_of_particles),ghx,ghu,constant,ghxx,ghuu,ghxu,ThreadsOptions.local_state_space_iteration_2);
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if order == 2
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tmp = local_state_space_iteration_2(yhat,zeros(number_of_structural_innovations,number_of_particles),ghx,ghu,constant,ghxx,ghuu,ghxu,ThreadsOptions.local_state_space_iteration_2);
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else
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error('Order > 2: use_k_order_solver should be set to true');
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end
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end
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end
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@ -118,13 +120,21 @@ for t=1:sample_size
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weights_stage_1 = weights(indx)./tau_tilde(indx) ;
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epsilon = Q_lower_triangular_cholesky*randn(number_of_structural_innovations,number_of_particles);
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if pruning
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[tmp, tmp_] = local_state_space_iteration_2(yhat,epsilon,ghx,ghu,constant,ghxx,ghuu,ghxu,yhat_,steadystate,ThreadsOptions.local_state_space_iteration_2);
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StateVectors_ = tmp_(mf0,:);
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if order == 2
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[tmp, tmp_] = local_state_space_iteration_2(yhat,epsilon,ghx,ghu,constant,ghxx,ghuu,ghxu,yhat_,steadystate,ThreadsOptions.local_state_space_iteration_2);
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else
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error('Pruning is not available for orders > 2');
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end
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StateVectors_ = tmp_(mf0_,:);
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else
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if ReducedForm.use_k_order_solver
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tmp = local_state_space_iteration_k(yhat, epsilon, dr, Model, DynareOptions, udr);
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else
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tmp = local_state_space_iteration_2(yhat, epsilon, ghx, ghu, constant, ghxx, ghuu, ghxu, ThreadsOptions.local_state_space_iteration_2);
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if order == 2
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tmp = local_state_space_iteration_2(yhat, epsilon, ghx, ghu, constant, ghxx, ghuu, ghxu, ThreadsOptions.local_state_space_iteration_2);
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else
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error('Order > 2: use_k_order_solver should be set to true');
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end
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end
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end
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StateVectors = tmp(mf0,:);
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@ -135,9 +145,8 @@ for t=1:sample_size
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if (ParticleOptions.resampling.status.generic && neff(weights)<ParticleOptions.resampling.threshold*sample_size) || ParticleOptions.resampling.status.systematic
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if pruning
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temp = resample([StateVectors' StateVectors_'],weights',ParticleOptions);
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number_of_state_variables=size(StateVectors,1);
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StateVectors = temp(:,1:number_of_state_variables)';
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StateVectors_ = temp(:,number_of_state_variables+1:2*number_of_state_variables)';
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StateVectors_ = temp(:,number_of_state_variables+1:end)';
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else
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StateVectors = resample(StateVectors',weights',ParticleOptions)';
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end
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