/dports/science/dynare/dynare-4.6.4/matlab/ |
H A D | covariance_mc_analysis.m | 68 if isfield(temporary_structure,'dsge') 69 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge; 71 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.Mean; 114 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.density.(var1).(var2) = density; 119 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.Mean.(var1).(var2) = p_mean; 120 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.Median.(var1).(var2) = p_median; 121 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.Variance.(var1).(var2) = p_var; 122 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.HPDinf.(var1).(var2) = hpd_interval(1); 123 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.HPDsup.(var1).(var2) = hpd_interval(2); 124 oo_.([TYPE, 'TheoreticalMoments']).dsge.covariance.deciles.(var1).(var2) = p_deciles; [all …]
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H A D | correlation_mc_analysis.m | 51 if isfield(temporary_structure,'dsge') 52 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge; 54 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge.correlation.Mean; 105 if isfield(temporary_structure,'dsge') 106 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge; 122 oo_.([type, 'TheoreticalMoments']).dsge.correlation.Mean.(var1).(var2) = NaN(nar,1); 123 oo_.([type, 'TheoreticalMoments']).dsge.correlation.Median.(var1).(var2) = NaN(nar,1); 124 oo_.([type, 'TheoreticalMoments']).dsge.correlation.Variance.(var1).(var2) = NaN(nar,1); 125 oo_.([type, 'TheoreticalMoments']).dsge.correlation.HPDinf.(var1).(var2) = NaN(nar,1); 126 oo_.([type, 'TheoreticalMoments']).dsge.correlation.HPDsup.(var1).(var2) = NaN(nar,1); [all …]
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H A D | conditional_variance_decomposition_ME_mc_analysis.m | 78 if isfield(temporary_structure,'dsge') 79 temporary_structure = oo_.([TYPE 'TheoreticalMoments']).dsge; 81 …temporary_structure = oo_.([TYPE 'TheoreticalMoments']).dsge.ConditionalVarianceDecompositionME.Me… 130 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.Steps = Steps; 131 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.Mean.(name_1).(name_2) = p_mean; 132 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.Median.(name_1).(name_2) = p_median; 133 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.Variance.(name_1).(name_2) = p_variance; 134 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.HPDinf.(name_1).(name_2) = p_hpdinf; 135 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.HPDsup.(name_1).(name_2) = p_hpdsup; 136 oo_.(FirstField).dsge.ConditionalVarianceDecompositionME.deciles.(name_1).(name_2) = p_deciles; [all …]
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H A D | conditional_variance_decomposition_mc_analysis.m | 71 if isfield(temporary_structure,'dsge') 72 temporary_structure = oo_.([TYPE 'TheoreticalMoments']).dsge; 74 …temporary_structure = oo_.([TYPE 'TheoreticalMoments']).dsge.ConditionalVarianceDecomposition.Mean; 123 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.Steps = Steps; 124 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.Mean.(name_1).(name_2) = p_mean; 125 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.Median.(name_1).(name_2) = p_median; 126 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.Variance.(name_1).(name_2) = p_variance; 127 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.HPDinf.(name_1).(name_2) = p_hpdinf; 128 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.HPDsup.(name_1).(name_2) = p_hpdsup; 129 oo_.(FirstField).dsge.ConditionalVarianceDecomposition.deciles.(name_1).(name_2) = p_deciles; [all …]
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H A D | variance_decomposition_mc_analysis.m | 72 if isfield(temporary_structure,'dsge') 73 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge; 75 … temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.Mean; 102 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.Mean.(var).(exo) = p_mean; 103 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.Median.(var).(exo) = p_median; 104 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.Variance.(var).(exo) = p_var; 105 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.HPDinf.(var).(exo) = hpd_interval(1); 106 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.HPDsup.(var).(exo) = hpd_interval(2); 107 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.deciles.(var).(exo) = p_deciles; 109 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecomposition.density.(var).(exo) = density;
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H A D | variance_decomposition_ME_mc_analysis.m | 74 if isfield(temporary_structure,'dsge') 75 temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge; 77 … temporary_structure = oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.Mean; 104 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.Mean.(var).(exo) = p_mean; 105 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.Median.(var).(exo) = p_median; 106 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.Variance.(var).(exo) = p_var; 107 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.HPDinf.(var).(exo) = hpd_interval(1… 108 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.HPDsup.(var).(exo) = hpd_interval(2… 109 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.deciles.(var).(exo) = p_deciles; 111 oo_.([TYPE, 'TheoreticalMoments']).dsge.VarianceDecompositionME.density.(var).(exo) = density;
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H A D | compute_moments_varendo.m | 122 …temp(i,j) = oo_.PosteriorTheoreticalMoments.dsge.VarianceDecomposition.Mean.(var_list_{i}).(M_.exo… 131 …temp(i,j)=oo_.PriorTheoreticalMoments.dsge.VarianceDecomposition.Mean.(var_list_{i}).(M_.exo_names… 165 …temp(i,j,:) = oo_.PosteriorTheoreticalMoments.dsge.VarianceDecompositionME.Mean.(observable_name_r… 169 …temp(i,j+1,:) = oo_.PosteriorTheoreticalMoments.dsge.VarianceDecompositionME.Mean.(observable_name… 176 …temp(i,j,:) = oo_.PriorTheoreticalMoments.dsge.VarianceDecompositionME.Mean.(observable_name_reque… 180 …temp(i,j+1,:) = oo_.PriorTheoreticalMoments.dsge.VarianceDecompositionME.Mean.(observable_name_req… 208 …temp(i,j,:) = oo_.PosteriorTheoreticalMoments.dsge.ConditionalVarianceDecomposition.Mean.(var_list… 217 …temp(i,j,:) = oo_.PriorTheoreticalMoments.dsge.ConditionalVarianceDecomposition.Mean.(var_list_{i}… 251 …temp(i,j+1,:) = oo_.PosteriorTheoreticalMoments.dsge.ConditionalVarianceDecompositionME.Mean.(obse… 258 …temp(i,j,:) = oo_.PriorTheoreticalMoments.dsge.ConditionalVarianceDecompositionME.Mean.(observable… [all …]
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H A D | dsge_var_likelihood.m | 2 % Evaluates the posterior kernel of the bvar-dsge model. 25 % o prior [double] a matlab structure describing the dsge-var prior 79 % Get the number of estimated (dsge) parameters. 104 % Return, with endogenous penalty, if some dsge-parameters are smaller than the lower bound of the … 114 % Return, with endogenous penalty, if some dsge-parameters are greater than the upper bound of the … 136 % Get the weight of the dsge prior. 139 % Is the dsge prior proper? 245 if ~isinf(dsge_prior_weight)% Evaluation of the likelihood of the dsge-var model when the dsge prio… 277 else% Evaluation of the likelihood of the dsge-var model when the dsge prior weight is infinite. 303 % Add the (logged) prior density for the dsge-parameters.
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H A D | PosteriorIRF.m | 290 fprintf('Estimation::mcmc: Posterior (dsge) IRFs...\n'); 314 oo_.PosteriorIRF.dsge.Mean.(name) = MeanIRF(:,j,i); 315 oo_.PosteriorIRF.dsge.Median.(name) = MedianIRF(:,j,i); 316 oo_.PosteriorIRF.dsge.Var.(name) = VarIRF(:,j,i); 317 oo_.PosteriorIRF.dsge.deciles.(name) = DistribIRF(:,:,j,i); 318 oo_.PosteriorIRF.dsge.HPDinf.(name) = HPDIRF(:,1,j,i); 319 oo_.PosteriorIRF.dsge.HPDsup.(name) = HPDIRF(:,2,j,i); 330 fprintf('Estimation::mcmc: Posterior (bvar-dsge) IRFs...\n');
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H A D | check_dsge_var_model.m | 3 % Check if the dsge model can be estimated with the DSGE-VAR approach.
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H A D | evaluate_posterior_kernel.m | 22 % [1] This function cannot evaluate the prior density of a dsge-var model...
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H A D | evaluate_prior.m | 22 % [1] This function cannot evaluate the prior density of a dsge-var model...
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H A D | evaluate_likelihood.m | 21 % [1] This function cannot evaluate the likelihood of a dsge-var model...
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H A D | non_linear_dsge_likelihood.m | 3 % Evaluates the posterior kernel of a dsge model using a non linear filter.
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/dports/science/dynare/dynare-4.6.4/tests/moments/ |
H A D | fs2000_post_moments.mod | 144 …elation(var_iter_1,var_iter_2:nvars:end)'-oo_.PosteriorTheoreticalMoments.dsge.correlation.Mean.(M… 154 …if max(abs(covariance(var_iter_1,var_iter_2)-oo_.PosteriorTheoreticalMoments.dsge.covariance.Mean.… 164 …_decomposition(var_iter_1,shock_iter)/100-oo_.PosteriorTheoreticalMoments.dsge.VarianceDecompositi… 176 …ition(var_iter_1,horizon_iter,shock_iter)-oo_.PosteriorTheoreticalMoments.dsge.ConditionalVariance… 219 …elation(var_iter_1,var_iter_2:nvars:end)'-oo_.PosteriorTheoreticalMoments.dsge.correlation.Mean.(M… 229 …if max(abs(covariance(var_iter_1,var_iter_2)-oo_.PosteriorTheoreticalMoments.dsge.covariance.Mean.… 239 …_decomposition(var_iter_1,shock_iter)/100-oo_.PosteriorTheoreticalMoments.dsge.VarianceDecompositi… 249 …_ME(obs_order(var_iter_1),shock_iter)/100-oo_.PosteriorTheoreticalMoments.dsge.VarianceDecompositi… 261 …ition(var_iter_1,horizon_iter,shock_iter)-oo_.PosteriorTheoreticalMoments.dsge.ConditionalVariance… 275 …rder(var_iter_1),horizon_iter,shock_iter)-oo_.PosteriorTheoreticalMoments.dsge.ConditionalVariance…
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/dports/emulators/qemu-powernv/qemu-powernv-3.0.50/hw/rdma/ |
H A D | rdma_backend.c | 259 struct ibv_sge *dsge, struct ibv_sge *ssge, in build_host_sge_array() argument 274 dsge->addr = (uintptr_t)mr->virt + ssge[ssge_idx].addr - mr->start; in build_host_sge_array() 275 dsge->length = ssge[ssge_idx].length; in build_host_sge_array() 276 dsge->lkey = rdma_backend_mr_lkey(&mr->backend_mr); in build_host_sge_array() 279 pr_dbg("dsge->addr=0x%" PRIx64 "\n", dsge->addr); in build_host_sge_array() 280 pr_dbg("dsge->length=%d\n", dsge->length); in build_host_sge_array() 281 pr_dbg("dsge->lkey=0x%x\n", dsge->lkey); in build_host_sge_array() 283 dsge++; in build_host_sge_array()
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/dports/science/dynare/dynare-4.6.4/tests/ |
H A D | Makefile.am | 182 dsge-var/simul_hybrid.mod \ 184 dsge-var/dsgevar_forward_estimated_lambda.mod \ 236 ms-dsge/test_ms_dsge.mod \ 488 dsge-var/dsgevar_forward_calibrated_lambda.m.trs: dsge-var/simul_hybrid.m.trs 489 dsge-var/dsgevar_forward_estimated_lambda.m.trs: dsge-var/simul_hybrid.m.trs 490 dsge-var/dsgevar_forward_calibrated_lambda.o.trs: dsge-var/simul_hybrid.o.trs 491 dsge-var/dsgevar_forward_estimated_lambda.o.trs: dsge-var/simul_hybrid.o.trs 779 dsge-var: m/dsge-var o/dsge-var 780 m/dsge-var: $(patsubst %.mod, %.m.trs, $(filter dsge-var/%.mod, $(MODFILES))) 781 o/dsge-var: $(patsubst %.mod, %.o.trs, $(filter dsge-var/%.mod, $(MODFILES))) [all …]
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H A D | Makefile.in | 448 dsge-var/simul_hybrid.mod \ 450 dsge-var/dsgevar_forward_estimated_lambda.mod \ 502 ms-dsge/test_ms_dsge.mod \ 1089 dsge-var/dsgevar_forward_calibrated_lambda.m.trs: dsge-var/simul_hybrid.m.trs 1090 dsge-var/dsgevar_forward_estimated_lambda.m.trs: dsge-var/simul_hybrid.m.trs 1091 dsge-var/dsgevar_forward_calibrated_lambda.o.trs: dsge-var/simul_hybrid.o.trs 1092 dsge-var/dsgevar_forward_estimated_lambda.o.trs: dsge-var/simul_hybrid.o.trs 1378 dsge-var: m/dsge-var o/dsge-var 1379 m/dsge-var: $(patsubst %.mod, %.m.trs, $(filter dsge-var/%.mod, $(MODFILES))) 1380 o/dsge-var: $(patsubst %.mod, %.o.trs, $(filter dsge-var/%.mod, $(MODFILES))) [all …]
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/dports/emulators/qemu42/qemu-4.2.1/hw/rdma/ |
H A D | rdma_backend.c | 381 struct ibv_sge *dsge, struct ibv_sge *ssge, in build_host_sge_array() argument 395 dsge->addr = (uintptr_t)mr->virt + ssge[ssge_idx].addr - mr->start; in build_host_sge_array() 397 dsge->addr = ssge[ssge_idx].addr; in build_host_sge_array() 399 dsge->length = ssge[ssge_idx].length; in build_host_sge_array() 400 dsge->lkey = rdma_backend_mr_lkey(&mr->backend_mr); in build_host_sge_array() 402 *total_length += dsge->length; in build_host_sge_array() 404 dsge++; in build_host_sge_array()
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/dports/emulators/qemu-utils/qemu-4.2.1/hw/rdma/ |
H A D | rdma_backend.c | 381 struct ibv_sge *dsge, struct ibv_sge *ssge, in build_host_sge_array() argument 395 dsge->addr = (uintptr_t)mr->virt + ssge[ssge_idx].addr - mr->start; in build_host_sge_array() 397 dsge->addr = ssge[ssge_idx].addr; in build_host_sge_array() 399 dsge->length = ssge[ssge_idx].length; in build_host_sge_array() 400 dsge->lkey = rdma_backend_mr_lkey(&mr->backend_mr); in build_host_sge_array() 402 *total_length += dsge->length; in build_host_sge_array() 404 dsge++; in build_host_sge_array()
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/dports/science/dynare/dynare-4.6.4/tests/dsge-var/ |
H A D | dsgevar_forward_calibrated_lambda.mod | 76 ** The option dsge_var=.8 triggers the estimation of a DSGE-VAR model, with a calibrated dsge prior…
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/dports/science/dynare/dynare-4.6.4/matlab/particles/src/ |
H A D | solve_model_for_online_filter.m | 4 % Solves the dsge model for an particular parameters set.
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/dports/multimedia/v4l_compat/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/ |
H A D | qplib_fp.c | 1633 struct sq_sge *dsge; in bnxt_qplib_put_sges() local 1637 dsge = bnxt_qplib_get_prod_qe(hwq, *idx); in bnxt_qplib_put_sges() 1638 dsge->va_or_pa = cpu_to_le64(ssge[indx].addr); in bnxt_qplib_put_sges() 1639 dsge->l_key = cpu_to_le32(ssge[indx].lkey); in bnxt_qplib_put_sges() 1640 dsge->size = cpu_to_le32(ssge[indx].size); in bnxt_qplib_put_sges()
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/dports/multimedia/v4l-utils/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/ |
H A D | qplib_fp.c | 1633 struct sq_sge *dsge; in bnxt_qplib_put_sges() local 1637 dsge = bnxt_qplib_get_prod_qe(hwq, *idx); in bnxt_qplib_put_sges() 1638 dsge->va_or_pa = cpu_to_le64(ssge[indx].addr); in bnxt_qplib_put_sges() 1639 dsge->l_key = cpu_to_le32(ssge[indx].lkey); in bnxt_qplib_put_sges() 1640 dsge->size = cpu_to_le32(ssge[indx].size); in bnxt_qplib_put_sges()
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/dports/multimedia/libv4l/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/ |
H A D | qplib_fp.c | 1633 struct sq_sge *dsge; in bnxt_qplib_put_sges() local 1637 dsge = bnxt_qplib_get_prod_qe(hwq, *idx); in bnxt_qplib_put_sges() 1638 dsge->va_or_pa = cpu_to_le64(ssge[indx].addr); in bnxt_qplib_put_sges() 1639 dsge->l_key = cpu_to_le32(ssge[indx].lkey); in bnxt_qplib_put_sges() 1640 dsge->size = cpu_to_le32(ssge[indx].size); in bnxt_qplib_put_sges()
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