parallel version.
Marco Ratto
parent
837399182c
commit
060e36da1a
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@ -1,4 +1,5 @@
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function prior_posterior_statistics(type,Y,gend,data_index,missing_value)
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% function PosteriorFilterSmootherAndForecast(Y,gend, type)
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% Computes posterior filter smoother and forecasts
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%
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@ -7,13 +8,13 @@ function prior_posterior_statistics(type,Y,gend,data_index,missing_value)
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% prior
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% gsa
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% Y: data
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% gend: number of observations
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% gend: number of observations
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% data_index [cell] 1*smpl cell of column vectors of indices.
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% missing_value 1 if missing values, 0 otherwise
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%
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%
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% OUTPUTS
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% none
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%
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%
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% SPECIAL REQUIREMENTS
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% none
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@ -36,6 +37,8 @@ function prior_posterior_statistics(type,Y,gend,data_index,missing_value)
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global options_ estim_params_ oo_ M_ bayestopt_
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localVars=[];
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nvx = estim_params_.nvx;
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nvn = estim_params_.nvn;
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ncx = estim_params_.ncx;
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@ -61,8 +64,8 @@ maxlag = M_.maximum_endo_lag;
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DirectoryName = CheckPath('metropolis');
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load([ DirectoryName '/' M_.fname '_mh_history'])
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FirstMhFile = record.KeepedDraws.FirstMhFile;
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FirstLine = record.KeepedDraws.FirstLine;
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TotalNumberOfMhFiles = sum(record.MhDraws(:,2)); LastMhFile = TotalNumberOfMhFiles;
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FirstLine = record.KeepedDraws.FirstLine;
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TotalNumberOfMhFiles = sum(record.MhDraws(:,2)); LastMhFile = TotalNumberOfMhFiles;
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TotalNumberOfMhDraws = sum(record.MhDraws(:,1));
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NumberOfDraws = TotalNumberOfMhDraws-floor(options_.mh_drop*TotalNumberOfMhDraws);
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clear record;
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@ -82,14 +85,14 @@ MAX_ninno = min(B,ceil(MaxNumberOfBytes/(exo_nbr*gend)/8));
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MAX_nerro = min(B,ceil(MaxNumberOfBytes/(size(options_.varobs,1)*gend)/8));
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if naK
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MAX_naK = min(B,ceil(MaxNumberOfBytes/(size(options_.varobs,1)* ...
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length(options_.filter_step_ahead)*gend)/8));
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length(options_.filter_step_ahead)*gend)/8));
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end
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if horizon
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MAX_nforc1 = min(B,ceil(MaxNumberOfBytes/((endo_nbr)*(horizon+maxlag))/8));
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MAX_nforc2 = min(B,ceil(MaxNumberOfBytes/((endo_nbr)*(horizon+maxlag))/ ...
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8));
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8));
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IdObs = bayestopt_.mfys;
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end
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MAX_momentsno = min(B,ceil(MaxNumberOfBytes/(get_moments_size(options_)*8)));
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%%
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@ -111,7 +114,9 @@ ifil = zeros(7,1);
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if exist('OCTAVE_VERSION')
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diary off;
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else
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h = waitbar(0,'Taking subdraws...');
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if isnumeric(options_.parallel)
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h = waitbar(0,'Taking subdraws...');
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end
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end
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stock_param = zeros(MAX_nruns, npar);
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@ -128,7 +133,7 @@ end
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if options_.filter_step_ahead
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stock_filter_step_ahead = zeros(naK,endo_nbr,gend+ ...
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options_.filter_step_ahead(end),MAX_naK);
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options_.filter_step_ahead(end),MAX_naK);
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run_smoother = 1;
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end
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if options_.forecast
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@ -139,144 +144,116 @@ end
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%if moments_varendo
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% stock_moments = cell(MAX_momentsno,1);
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%end
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for b=1:B
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[deep, logpo] = GetOneDraw(type);
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set_all_parameters(deep);
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dr = resol(oo_.steady_state,0);
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%if moments_varendo
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% stock_moments{irun(8)} = compute_model_moments(dr,M_,options_);
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%end
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if run_smoother
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[alphahat,etahat,epsilonhat,alphatilde,SteadyState,trend_coeff,aK] = ...
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DsgeSmoother(deep,gend,Y,data_index,missing_value);
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if options_.loglinear
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stock_smooth(dr.order_var,:,irun(1)) = alphahat(1:endo_nbr,:)+ ...
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repmat(log(dr.ys(dr.order_var)),1,gend);
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stock_update(dr.order_var,:,irun(1)) = alphatilde(1:endo_nbr,:)+ ...
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repmat(log(dr.ys(dr.order_var)),1,gend);
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else
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stock_smooth(dr.order_var,:,irun(1)) = alphahat(1:endo_nbr,:)+ ...
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repmat(dr.ys(dr.order_var),1,gend);
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stock_update(dr.order_var,:,irun(1)) = alphatilde(1:endo_nbr,:)+ ...
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repmat(dr.ys(dr.order_var),1,gend);
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end
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stock_innov(:,:,irun(2)) = etahat;
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if nvn
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stock_error(:,:,irun(3)) = epsilonhat;
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end
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if naK
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stock_filter_step_ahead(:,dr.order_var,:,irun(4)) = aK(options_.filter_step_ahead,1:endo_nbr,:);
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end
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if horizon
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yyyy = alphahat(iendo,i_last_obs);
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yf = forcst2a(yyyy,dr,zeros(horizon,exo_nbr));
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if options_.prefilter == 1
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yf(:,IdObs) = yf(:,IdObs)+repmat(bayestopt_.mean_varobs', ...
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horizon+maxlag,1);
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end
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yf(:,IdObs) = yf(:,IdObs)+(gend+[1-maxlag:horizon]')*trend_coeff';
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if options_.loglinear == 1
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yf = yf+repmat(log(SteadyState'),horizon+maxlag,1);
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else
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yf = yf+repmat(SteadyState',horizon+maxlag,1);
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end
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yf1 = forcst2(yyyy,horizon,dr,1);
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if options_.prefilter == 1
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yf1(:,IdObs,:) = yf1(:,IdObs,:)+ ...
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repmat(bayestopt_.mean_varobs',[horizon+maxlag,1,1]);
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end
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yf1(:,IdObs,:) = yf1(:,IdObs,:)+repmat((gend+[1-maxlag:horizon]')* ...
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trend_coeff',[1,1,1]);
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if options_.loglinear == 1
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yf1 = yf1 + repmat(log(SteadyState'),[horizon+maxlag,1,1]);
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else
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yf1 = yf1 + repmat(SteadyState',[horizon+maxlag,1,1]);
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end
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% Store the variable mandatory for local/remote parallel computing.
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stock_forcst_mean(:,:,irun(6)) = yf';
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stock_forcst_point(:,:,irun(7)) = yf1';
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end
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end
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stock_param(irun(5),:) = deep;
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stock_logpo(irun(5),1) = logpo;
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stock_ys(irun(5),:) = SteadyState';
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localVars.typee=type;
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localVars.run_smoother=run_smoother;
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localVars.gend=gend;
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localVars.Y=Y;
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localVars.data_index=data_index;
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localVars.missing_value=missing_value;
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localVars.options_.varobs=options_.varobs;
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localVars.irun=irun;
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localVars.endo_nbr=endo_nbr;
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localVars.nvn=nvn;
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localVars.naK=naK;
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localVars.horizon=horizon;
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localVars.iendo=iendo;
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if horizon
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localVars.i_last_obs=i_last_obs;
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localVars.IdObs=IdObs;
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end
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localVars.exo_nbr=exo_nbr;
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localVars.maxlag=maxlag;
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localVars.MAX_nsmoo=MAX_nsmoo;
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localVars.MAX_ninno=MAX_ninno;
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localVars.MAX_nerro = MAX_nerro;
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if naK
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localVars.MAX_naK=MAX_naK;
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end
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localVars.MAX_nruns=MAX_nruns;
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if horizon
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localVars.MAX_nforc1=MAX_nforc1;
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localVars.MAX_nforc2=MAX_nforc2;
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end
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localVars.MAX_momentsno = MAX_momentsno;
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localVars.ifil=ifil;
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irun = irun + ones(7,1);
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if isnumeric(options_.parallel)
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localVars.h=h;
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end
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if irun(1) > MAX_nsmoo || b == B
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stock = stock_smooth(:,:,1:irun(1)-1);
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ifil(1) = ifil(1) + 1;
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save([DirectoryName '/' M_.fname '_smooth' int2str(ifil(1)) '.mat'],'stock');
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stock = stock_update(:,:,1:irun(1)-1);
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save([DirectoryName '/' M_.fname '_update' int2str(ifil(1)) '.mat'],'stock');
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irun(1) = 1;
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end
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if irun(2) > MAX_ninno || b == B
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stock = stock_innov(:,:,1:irun(2)-1);
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ifil(2) = ifil(2) + 1;
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save([DirectoryName '/' M_.fname '_inno' int2str(ifil(2)) '.mat'],'stock');
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irun(2) = 1;
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end
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if nvn && (irun(3) > MAX_nerro || b == B)
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stock = stock_error(:,:,1:irun(3)-1);
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ifil(3) = ifil(3) + 1;
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save([DirectoryName '/' M_.fname '_error' int2str(ifil(3)) '.mat'],'stock');
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irun(3) = 1;
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end
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if naK && (irun(4) > MAX_naK || b == B)
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stock = stock_filter_step_ahead(:,:,:,1:irun(4)-1);
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ifil(4) = ifil(4) + 1;
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save([DirectoryName '/' M_.fname '_filter_step_ahead' int2str(ifil(4)) '.mat'],'stock');
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irun(4) = 1;
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end
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if irun(5) > MAX_nruns || b == B
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stock = stock_param(1:irun(5)-1,:);
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ifil(5) = ifil(5) + 1;
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save([DirectoryName '/' M_.fname '_param' int2str(ifil(5)) '.mat'],'stock','stock_logpo','stock_ys');
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irun(5) = 1;
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end
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if horizon && (irun(6) > MAX_nforc1 || b == B)
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stock = stock_forcst_mean(:,:,1:irun(6)-1);
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ifil(6) = ifil(6) + 1;
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save([DirectoryName '/' M_.fname '_forc_mean' int2str(ifil(6)) '.mat'],'stock');
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irun(6) = 1;
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end
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if horizon && (irun(7) > MAX_nforc2 || b == B)
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stock = stock_forcst_point(:,:,1:irun(7)-1);
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ifil(7) = ifil(7) + 1;
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save([DirectoryName '/' M_.fname '_forc_point' int2str(ifil(7)) '.mat'],'stock');
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irun(7) = 1;
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end
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% if moments_varendo && (irun(8) > MAX_momentsno || b == B)
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% stock = stock_moments(1:irun(8)-1);
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% ifil(8) = ifil(8) + 1;
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% save([DirectoryName '/' M_.fname '_moments' int2str(ifil(8)) '.mat'],'stock');
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% irun(8) = 1;
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% end
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if exist('OCTAVE_VERSION')
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printf('Taking subdraws: %3.f%% done\r', b/B);
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else
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waitbar(b/B,h);
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if strcmpi(type,'posterior'),
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b=0;
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while b<=B
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b = b + 1;
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[x(b,:), logpost(b,1)] = GetOneDraw(type);
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end
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end
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if ~strcmpi(type,'prior'),
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localVars.x=x;
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localVars.logpost=logpost;
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end
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b=0;
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if isnumeric(options_.parallel),% | isunix, % for the moment exclude unix platform from parallel implementation
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[fout] = prior_posterior_statistics_core(localVars,1,B,0);
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else
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[nCPU, totCPU, nBlockPerCPU] = distributeJobs(options_.parallel, 1, B);
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for j=1:totCPU-1,
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nfiles = ceil(nBlockPerCPU(j)/MAX_nsmoo);
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ifil(1,j+1) =ifil(1,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_ninno);
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ifil(2,j+1) =ifil(2,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_nerro);
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ifil(3,j+1) =ifil(3,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_naK);
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ifil(4,j+1) =ifil(4,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_nruns);
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ifil(5,j+1) =ifil(5,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_nforc1);
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ifil(6,j+1) =ifil(6,j)+nfiles;
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nfiles = ceil(nBlockPerCPU(j)/MAX_nforc2);
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ifil(7,j+1) =ifil(7,j)+nfiles;
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% nfiles = ceil(nBlockPerCPU(j)/MAX_momentsno);
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% ifil(8,j+1) =ifil(8,j)+nfiles;
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end
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localVars.ifil = ifil;
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globalVars = struct('M_',M_, ...
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'options_', options_, ...
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'bayestopt_', bayestopt_, ...
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'estim_params_', estim_params_, ...
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'oo_', oo_);
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% which files have to be copied to run remotely
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NamFileInput(1,:) = {'',[M_.fname '_static.m']};
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NamFileInput(2,:) = {'',[M_.fname '_dynamic.m']};
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if options_.steadystate_flag,
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NamFileInput(length(NamFileInput)+1,:)={'',[M_.fname '_steadystate.m']};
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end
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[fout] = masterParallel(options_.parallel, 1, B,NamFileInput,'prior_posterior_statistics_core', localVars,globalVars);
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end
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ifil = fout(end).ifil;
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if exist('OCTAVE_VERSION')
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printf('\n');
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diary on;
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else
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close(h)
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if exist('h')
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close(h)
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end
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end
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stock_gend=gend;
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@ -285,7 +262,7 @@ save([DirectoryName '/' M_.fname '_data.mat'],'stock_gend','stock_data');
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if options_.smoother
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pm3(endo_nbr,gend,ifil(1),B,'Smoothed variables',...
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'',varlist,'tit_tex',M_.endo_names,...
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'',M_.endo_names(1:M_.orig_endo_nbr, :),'tit_tex',M_.endo_names,...
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varlist,'SmoothedVariables',[M_.dname '/metropolis'],'_smooth');
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pm3(exo_nbr,gend,ifil(2),B,'Smoothed shocks',...
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'',M_.exo_names,'tit_tex',M_.exo_names,...
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@ -0,0 +1,232 @@
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function myoutput=prior_posterior_statistics_core(myinputs,fpar,B,whoiam, ThisMatlab)
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if nargin<4,
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whoiam=0;
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end
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struct2local(myinputs);
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global options_ oo_ M_ bayestopt_ estim_params_
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DirectoryName = CheckPath('metropolis');
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RemoteFlag = 0;
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if whoiam
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ifil=ifil(:,whoiam);
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waitbarString = ['Please wait... Bayesian (posterior) subdraws (' int2str(fpar) 'of' int2str(B) ')...'];
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if Parallel(ThisMatlab).Local,
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waitbarTitle=['Local '];
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else
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waitbarTitle=[Parallel(ThisMatlab).PcName];
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RemoteFlag = 1;
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end
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fMessageStatus(0,whoiam,waitbarString, waitbarTitle, Parallel(ThisMatlab), MasterName, DyMo);
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end
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if RemoteFlag==1,
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OutputFileName_smooth = {};
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OutputFileName_update = {};
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OutputFileName_inno = {};
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OutputFileName_error = {};
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OutputFileName_filter_step_ahead = {};
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OutputFileName_param = {};
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OutputFileName_forc_mean = {};
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OutputFileName_forc_point = {};
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% OutputFileName_moments = {};
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end
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for b=fpar:B
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% [deep, logpo] = GetOneDraw(typee);
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% set_all_parameters(deep);
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% dr = resol(oo_.steady_state,0);
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if strcmpi(typee,'prior')
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[deep, logpo] = GetOneDraw(typee);
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else
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deep = x(b,:);
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logpo = logpost(b);
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end
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set_all_parameters(deep);
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[dr,info] = resol(oo_.steady_state,0);
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if run_smoother
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[alphahat,etahat,epsilonhat,alphatilde,SteadyState,trend_coeff,aK] = ...
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DsgeSmoother(deep,gend,Y,data_index,missing_value);
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if options_.loglinear
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stock_smooth(dr.order_var,:,irun(1)) = alphahat(1:endo_nbr,:)+ ...
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repmat(log(dr.ys(dr.order_var)),1,gend);
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stock_update(dr.order_var,:,irun(1)) = alphatilde(1:endo_nbr,:)+ ...
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repmat(log(dr.ys(dr.order_var)),1,gend);
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else
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stock_smooth(dr.order_var,:,irun(1)) = alphahat(1:endo_nbr,:)+ ...
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repmat(dr.ys(dr.order_var),1,gend);
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stock_update(dr.order_var,:,irun(1)) = alphatilde(1:endo_nbr,:)+ ...
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repmat(dr.ys(dr.order_var),1,gend);
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end
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stock_innov(:,:,irun(2)) = etahat;
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if nvn
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stock_error(:,:,irun(3)) = epsilonhat;
|
||||
end
|
||||
if naK
|
||||
stock_filter_step_ahead(:,dr.order_var,:,irun(4)) = aK(options_.filter_step_ahead,1:endo_nbr,:);
|
||||
end
|
||||
|
||||
if horizon
|
||||
yyyy = alphahat(iendo,i_last_obs);
|
||||
yf = forcst2a(yyyy,dr,zeros(horizon,exo_nbr));
|
||||
if options_.prefilter == 1
|
||||
yf(:,IdObs) = yf(:,IdObs)+repmat(bayestopt_.mean_varobs', ...
|
||||
horizon+maxlag,1);
|
||||
end
|
||||
yf(:,IdObs) = yf(:,IdObs)+(gend+[1-maxlag:horizon]')*trend_coeff';
|
||||
if options_.loglinear == 1
|
||||
yf = yf+repmat(log(SteadyState'),horizon+maxlag,1);
|
||||
else
|
||||
yf = yf+repmat(SteadyState',horizon+maxlag,1);
|
||||
end
|
||||
yf1 = forcst2(yyyy,horizon,dr,1);
|
||||
if options_.prefilter == 1
|
||||
yf1(:,IdObs,:) = yf1(:,IdObs,:)+ ...
|
||||
repmat(bayestopt_.mean_varobs',[horizon+maxlag,1,1]);
|
||||
end
|
||||
yf1(:,IdObs,:) = yf1(:,IdObs,:)+repmat((gend+[1-maxlag:horizon]')* ...
|
||||
trend_coeff',[1,1,1]);
|
||||
if options_.loglinear == 1
|
||||
yf1 = yf1 + repmat(log(SteadyState'),[horizon+maxlag,1,1]);
|
||||
else
|
||||
yf1 = yf1 + repmat(SteadyState',[horizon+maxlag,1,1]);
|
||||
end
|
||||
|
||||
stock_forcst_mean(:,:,irun(6)) = yf';
|
||||
stock_forcst_point(:,:,irun(7)) = yf1';
|
||||
end
|
||||
|
||||
end
|
||||
stock_param(irun(5),:) = deep;
|
||||
stock_logpo(irun(5),1) = logpo;
|
||||
stock_ys(irun(5),:) = SteadyState';
|
||||
|
||||
irun = irun + ones(7,1);
|
||||
|
||||
%
|
||||
% TempPath=DirectoryName;
|
||||
% DirectoryNamePar='C:\dynare_calcs\ModelTest\ls2003\metropolis'
|
||||
% DirectoryName=DirectoryNamePar;
|
||||
|
||||
|
||||
|
||||
if irun(1) > MAX_nsmoo || b == B
|
||||
stock = stock_smooth(:,:,1:irun(1)-1);
|
||||
ifil(1) = ifil(1) + 1;
|
||||
save([DirectoryName '/' M_.fname '_smooth' int2str(ifil(1)) '.mat'],'stock');
|
||||
|
||||
stock = stock_update(:,:,1:irun(1)-1);
|
||||
save([DirectoryName '/' M_.fname '_update' int2str(ifil(1)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_smooth = [OutputFileName_smooth; {[DirectoryName filesep], [M_.fname '_smooth' int2str(ifil(1)) '.mat']}];
|
||||
OutputFileName_update = [OutputFileName_update; {[DirectoryName filesep], [M_.fname '_update' int2str(ifil(1)) '.mat']}];
|
||||
end
|
||||
irun(1) = 1;
|
||||
end
|
||||
|
||||
if irun(2) > MAX_ninno || b == B
|
||||
stock = stock_innov(:,:,1:irun(2)-1);
|
||||
ifil(2) = ifil(2) + 1;
|
||||
save([DirectoryName '/' M_.fname '_inno' int2str(ifil(2)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_inno = [OutputFileName_inno; {[DirectoryName filesep], [M_.fname '_inno' int2str(ifil(2)) '.mat']}];
|
||||
end
|
||||
irun(2) = 1;
|
||||
end
|
||||
|
||||
if nvn && (irun(3) > MAX_nerro || b == B)
|
||||
stock = stock_error(:,:,1:irun(3)-1);
|
||||
ifil(3) = ifil(3) + 1;
|
||||
save([DirectoryName '/' M_.fname '_error' int2str(ifil(3)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_error = [OutputFileName_error; {[DirectoryName filesep], [M_.fname '_error' int2str(ifil(3)) '.mat']}];
|
||||
end
|
||||
irun(3) = 1;
|
||||
end
|
||||
|
||||
if naK && (irun(4) > MAX_naK || b == B)
|
||||
stock = stock_filter_step_ahead(:,:,:,1:irun(4)-1);
|
||||
ifil(4) = ifil(4) + 1;
|
||||
save([DirectoryName '/' M_.fname '_filter_step_ahead' int2str(ifil(4)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_filter_step_ahead = [OutputFileName_filter_step_ahead; {[DirectoryName filesep], [M_.fname '_filter_step_ahead' int2str(ifil(4)) '.mat']}];
|
||||
end
|
||||
irun(4) = 1;
|
||||
end
|
||||
|
||||
if irun(5) > MAX_nruns || b == B
|
||||
stock = stock_param(1:irun(5)-1,:);
|
||||
ifil(5) = ifil(5) + 1;
|
||||
save([DirectoryName '/' M_.fname '_param' int2str(ifil(5)) '.mat'],'stock','stock_logpo','stock_ys');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_param = [OutputFileName_param; {[DirectoryName filesep], [M_.fname '_param' int2str(ifil(5)) '.mat']}];
|
||||
end
|
||||
irun(5) = 1;
|
||||
end
|
||||
|
||||
if horizon && (irun(6) > MAX_nforc1 || b == B)
|
||||
stock = stock_forcst_mean(:,:,1:irun(6)-1);
|
||||
ifil(6) = ifil(6) + 1;
|
||||
save([DirectoryName '/' M_.fname '_forc_mean' int2str(ifil(6)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_forc_mean = [OutputFileName_forc_mean; {[DirectoryName filesep], [M_.fname '_forc_mean' int2str(ifil(6)) '.mat']}];
|
||||
end
|
||||
irun(6) = 1;
|
||||
end
|
||||
|
||||
if horizon && (irun(7) > MAX_nforc2 || b == B)
|
||||
stock = stock_forcst_point(:,:,1:irun(7)-1);
|
||||
ifil(7) = ifil(7) + 1;
|
||||
save([DirectoryName '/' M_.fname '_forc_point' int2str(ifil(7)) '.mat'],'stock');
|
||||
if RemoteFlag==1,
|
||||
OutputFileName_forc_point = [OutputFileName_forc_point; {[DirectoryName filesep], [M_.fname '_forc_point' int2str(ifil(7)) '.mat']}];
|
||||
end
|
||||
irun(7) = 1;
|
||||
end
|
||||
|
||||
% if moments_varendo && (irun(8) > MAX_momentsno || b == B)
|
||||
% stock = stock_moments(1:irun(8)-1);
|
||||
% ifil(8) = ifil(8) + 1;
|
||||
% save([DirectoryName '/' M_.fname '_moments' int2str(ifil(8)) '.mat'],'stock');
|
||||
% if RemoteFlag==1,
|
||||
% OutputFileName_moments = [OutputFileName_moments; {[DirectoryName filesep], [M_.fname '_moments' int2str(ifil(8)) '.mat']}];
|
||||
% end
|
||||
% irun(8) = 1;
|
||||
% end
|
||||
|
||||
% DirectoryName=TempPath;
|
||||
|
||||
|
||||
if exist('OCTAVE_VERSION')
|
||||
printf('Taking subdraws: %3.f%% done\r', b/B);
|
||||
else
|
||||
if ~whoiam,
|
||||
waitbar(b/B,h);
|
||||
elseif mod(b,10)==0,
|
||||
fprintf('Done! \n');
|
||||
waitbarString = [ 'Subdraw ' int2str(b) '/' int2str(B) ' done.'];
|
||||
fMessageStatus((b-fpar+1)/(B-fpar+1),whoiam,waitbarString, waitbarTitle, Parallel(ThisMatlab), MasterName, DyMo)
|
||||
end
|
||||
end
|
||||
end
|
||||
|
||||
myoutput.ifil=ifil;
|
||||
if RemoteFlag==1,
|
||||
myoutput.OutputFileName = [OutputFileName_smooth;
|
||||
OutputFileName_update;
|
||||
OutputFileName_inno;
|
||||
OutputFileName_error;
|
||||
OutputFileName_filter_step_ahead;
|
||||
OutputFileName_param;
|
||||
OutputFileName_forc_mean;
|
||||
OutputFileName_forc_point];
|
||||
% OutputFileName_moments];
|
||||
end
|
||||
Loading…
Reference in New Issue