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/dports/science/dynare/dynare-4.6.4/matlab/
H A Dcovariance_mc_analysis.m68 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 …]
H A Dcorrelation_mc_analysis.m51 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 …]
H A Dconditional_variance_decomposition_ME_mc_analysis.m78 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 …]
H A Dconditional_variance_decomposition_mc_analysis.m71 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 …]
H A Dvariance_decomposition_mc_analysis.m72 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;
H A Dvariance_decomposition_ME_mc_analysis.m74 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;
H A Dcompute_moments_varendo.m122 …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 …]
H A Ddsge_var_likelihood.m2 % 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.
H A DPosteriorIRF.m290 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');
H A Dcheck_dsge_var_model.m3 % Check if the dsge model can be estimated with the DSGE-VAR approach.
H A Devaluate_posterior_kernel.m22 % [1] This function cannot evaluate the prior density of a dsge-var model...
H A Devaluate_prior.m22 % [1] This function cannot evaluate the prior density of a dsge-var model...
H A Devaluate_likelihood.m21 % [1] This function cannot evaluate the likelihood of a dsge-var model...
H A Dnon_linear_dsge_likelihood.m3 % Evaluates the posterior kernel of a dsge model using a non linear filter.
/dports/science/dynare/dynare-4.6.4/tests/moments/
H A Dfs2000_post_moments.mod144 …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…
/dports/emulators/qemu-powernv/qemu-powernv-3.0.50/hw/rdma/
H A Drdma_backend.c259 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()
/dports/science/dynare/dynare-4.6.4/tests/
H A DMakefile.am182 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 …]
H A DMakefile.in448 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 …]
/dports/emulators/qemu42/qemu-4.2.1/hw/rdma/
H A Drdma_backend.c381 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()
/dports/emulators/qemu-utils/qemu-4.2.1/hw/rdma/
H A Drdma_backend.c381 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()
/dports/science/dynare/dynare-4.6.4/tests/dsge-var/
H A Ddsgevar_forward_calibrated_lambda.mod76 ** The option dsge_var=.8 triggers the estimation of a DSGE-VAR model, with a calibrated dsge prior…
/dports/science/dynare/dynare-4.6.4/matlab/particles/src/
H A Dsolve_model_for_online_filter.m4 % Solves the dsge model for an particular parameters set.
/dports/multimedia/v4l_compat/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/
H A Dqplib_fp.c1633 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()
/dports/multimedia/v4l-utils/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/
H A Dqplib_fp.c1633 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()
/dports/multimedia/libv4l/linux-5.13-rc2/drivers/infiniband/hw/bnxt_re/
H A Dqplib_fp.c1633 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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