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- 2.71 MB
- 2022-8-3
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Non-Gaussian_Stochastic_Volatility_Model_with_Jumps_via_Gibbs_Sampler.pdf
- 455.38 KB
- 2022-6-10
-
Gibbs_sampler_with_jump_diffusion_model:_application_in_European_call_option_and.pdf
- 6.75 MB
- 2022-6-2
- 4.98 MB
- 2022-5-1
- 3.91 KB
- 2021-7-5
-
微观计量经济学：方法与应用program.data.output.zip
本附件包括：- bar2.gif
- ch7dataforboot.dta
- DATA66.dat
- DATA66.dct
- ema1996.asc
- ema1996.dta
- mma04p1wls.asc
- mma04p1wls.do
- mma04p1wls.txt
- mma04p2qreg.do
- mma04p2qreg.txt
- mma04p3iv.asc
- mma04p3iv.do
- mma04p3iv.txt
- mma04p4ivweak.asc
- mma04p4ivweak.do
- mma04p4ivweak.txt
- mma05data.asc
- mma05p1mle.do
- mma05p1mle.txt
- mma05p2nls.do
- mma05p2nls.txt
- mma05p3nlsbyml.do
- mma05p3nlsbyml.txt
- mma05p4margeffects.do
- mma05p4margeffects.txt
- mma06p1nl2sls.asc
- mma06p1nl2sls.lim
- mma06p1nl2sls.out
- mma06p2Theil.txt
- mma06p2twostage.do
- mma06p2twostage.txt
- mma07p1mltests.asc
- mma07p1mltests.do
- mma07p1mltests.txt
- mma07p2power.do
- mma07p2power.txt
- mma07p3montecarlo.do
- mma07p3montecarlo.txt
- mma07p4boot.asc
- mma07p4boot.do
- mma07p4boot.dta
- mma07p4boot.txt
- mma07p4bootreps.dta
- mma08p1cmtests.asc
- mma08p1cmtests.do
- mma08p1cmtests.txt
- mma08p2nonnested.asc
- mma08p2nonnested.do
- mma08p2nonnested.txt
- mma08p3diagnostics.asc
- mma08p3diagnostics.do
- mma08p3diagnostics.txt
- mma09p1np.asc
- mma09p1np.do
- mma09p1np.txt
- mma09p2npmore.asc
- mma09p2npmore.do
- mma09p2npmore.txt
- mma09p3kernels.asc
- mma09p3kernels.do
- mma09p3kernels.txt
- mma10p1gradient.do
- mma10p1gradient.txt
- mma11p1boot.asc
- mma11p1boot.do
- mma11p1boot.dta
- mma11p1boot.txt
- mma11p1bootreps.dta
- mma12p1integration.do
- mma12p1integration.txt
- mma12p2mslmsm.asc
- mma12p2mslmsm.do
- mma12p2mslmsm.txt
- mma12p3draws.do
- mma12p3draws.txt
- mma13p1bayesthm.do
- mma13p1bayesthm.txt
- mma13p2bayesgibbs.log
- mma13p2bayesgibbs.lst
- mma13p2bayesgibbs.sas
- mma14p1binary.asc
- mma14p1binary.do
- mma14p1binary.txt
- mma14p2maxscore.lim
- mma14p2maxscore.out
- mma15p1mnl.do
- mma15p1mnl.txt
- mma15p2gev.do
- mma15p2gev.txt
- mma15p3mnl.lim
- mma15p3mnl.out
- mma15p4gev.asc
- mma15p4gev.lim
- mma15p4gev.out
- mma16p1tobit.asc
- mma16p1tobit.do
- mma16p1tobit.txt
- mma16p2mills.do
- mma16p2mills.txt
- mma16p3selection.asc
- mma16p3selection.do
- mma16p3selection.txt
- mma17p1km.do
- mma17p1km.txt
- mma17p2kmextra.do
- mma17p2kmextra.txt
- mma17p3weib.do
- mma17p3weib.txt
- mma17p4duration.do
- mma17p4duration.txt
- mma18p1heterogeneity.do
- mma18p1heterogeneity.txt
- mma19p1comprisks.do
- mma19p1comprisks.txt
- mma20p1count.asc
- mma20p1count.do
- mma20p1count.txt
- mma21p1panbasic.do
- mma21p1panfeandre.do
- mma21p1panfeandre.txt
- mma21p2panmanual.do
- mma21p2panmanual.txt
- mma21p2panresiduals.txt
- mma21p3panresiduals.do
- mma21p3panresiduals.txt
- mma21p4pangls.do
- mma21p4pangls.txt
- mma22p1pangmm.do
- mma22p1pangmm.txt
- mma23p1pannonlin.do
- mma23p1pannonlin.txt
- mma24p1olscluster.do
- mma24p1olscluster.txt
- mma24p2poiscluster.do
- mma24p2poiscluster.txt
- mma25p1treatment.do
- mma25p1treatment.txt
- mma25p2matching.do
- mma25p2matching.txt
- mma25p3extra.do
- mma25p3extra.txt
- mmadata.html
- mmaprograms.html
- mmaprogramsexplain.html
- MOM.dat
- MOMprecise.dat
- NLDATA.ASC
- nswpsid.da1
- nswpsid.dta
- nswre74_all.asc
- nswre74_control.dta
- nswre74_treated.dta
- patr7079.asc
- probitsimresults.dta
- propensity_cps.asc
- propensity_cps.dta
- psidf3050.dat
- qreg0902.asc
- qreg0902.dta
- randdata.dta
- readme.txt
- strkdur.asc
- strkdur.dta
- vietnam_ex1.asc
- vietnam_ex1.dta
- vietnam_ex2.asc
- vietnam_ex2.dta
- xyforsim.dta
- 3.94 MB
- 2021-3-6
-
1.MCMC and Gibbs Sampling.rar
1本附件包括：- 1.MCMC and Gibbs Sampling.mp4
- 19.82 MB
- 2020-6-30
- 95.54 KB
- 2019-9-8
-
State-Space Models with Regime Switching Classical and Gibbs-Sampling Approaches.zip
本附件包括：- State-Space Models with Regime Switching Classical and Gibbs-Sampling Approaches with Applications.pdf
- 37.81 MB
- 2019-1-17
-
A Course on Large Deviations with an Introduction to Gibbs Measures.pdf
- 2.71 MB
- 2018-10-18
-
(Graduate Studies in Mathematics 162) Firas Rassoul-agha, Timp Seppelainen-A Cou.pdf
A Course on Large Deviations with an Introduction to Gibbs Measures - 1.95 MB
- 2018-10-18
-
本附件包括：
- Markov Chains Gibbs Fields, Monte Carlo Simulation, and Queues.pdf
- Adventures in Stochastic Processes Resnick.pdf
- 70.66 MB
- 2018-5-27
-
贝叶斯分析.zip
课件本附件包括：- 13_Gibbs.pdf
- 10_Linear_Regression.pdf
- 11_EM_algorithm.pdf
- 12_Simple_Methods.pdf
- 14_Metropolis_Hastings(1).pdf
- 15_revision(1).pdf
- 16_Complex_Models(1).pdf
- 17_Convergence.pdf
- 18_MCMC_Model_Comparison.pdf
- 1_intro_offline(1).pdf
- 2_basics(2).pdf
- 3_Bayesian_probability(1).pdf
- 4_conjugate_distributions(1).pdf
- 5_more_on_priors.pdf
- 6_multivariate(2)(1).pdf
- 7_outputs(1).pdf
- 8_model_comparison(1).pdf
- 9_Bayes_Factors.pdf
- 3.07 MB
- 2018-4-14
- 919.82 KB
- 2017-12-29
- 169.5 KB
- 2017-12-29
-
本附件包括：
- 2010.Introduction to probability simulation and Gibbs sampling with R(2010).pdf
- 2009.Applied Statistical Genetics with R_ For Population-based Association Studies(2009).pdf
- 2009.Bayesian Computation with R(2009).pdf
- 2009.Dynamic Linear Models with R(2009).pdf
- 2009.Functional data analysis with R and MATLAB(2009).pdf
- 2009.ggplot2_ Elegant Graphics for Data Analysis(2009).pdf
- 2009.Introductory Time Series with R(2009).pdf
- 2009.R Through Excel_ A Spreadsheet Interface for Statistics, Data Analysis, and Graphics(2009).pdf
- 2010.Introducing Monte Carlo Methods with R(2010).pdf
- 2011.An Introduction to Applied Multivariate Analysis with R(2011).pdf
- 2011.Business Analytics for Managers(2011).pdf
- 2011.Chemometrics with R_ Multivariate Data Analysis in the Natural Sciences and Life Sciences(2011).pdf
- 2011.Data Mining with Rattle and R_ The Art of Excavating Data for Knowledge Discovery(2011).pdf
- 2011.Forest Analytics with R_ An Introduction(2011).pdf
- 2011.Numerical Ecology with R(2011).pdf
- 2012.Analysis of Phylogenetics and Evolution with R(2012).pdf
- 2012.Behavioral Research Data Analysis with R(2012).pdf
- 2012.Biostatistics with R_ An Introduction to Statistics Through Biological Data(2012).pdf
- 2012.Competing Risks and Multistate Models with R(2012).pdf
- 2012.Graphical Models with R-Springer-Verlag New York (2012).pdf
- 91.17 MB
- 2017-9-15
- 3.01 KB
- 2017-7-22
-
State-Space Models with Regime Switching Classical and Gibbs-Sampling Approaches.pdf
- 10.3 MB
- 2017-5-10
-
datasets used in Microeconometrics-Methods and Applications .zip
《Microeconometrics: Methods and Applications》v2005本附件包括：- ema1996.asc
- mma04p1wls.asc
- mma04p3iv.asc
- mma04p4ivweak.asc
- mma05data.asc
- mma06p1nl2sls.asc
- mma07p1mltests.asc
- mma07p4boot.asc
- mma08p1cmtests.asc
- mma08p2nonnested.asc
- mma08p3diagnostics.asc
- mma09p1np.asc
- mma09p2npmore.asc
- mma09p3kernels.asc
- mma11p1boot.asc
- mma12p2mslmsm.asc
- mma14p1binary.asc
- mma15p4gev.asc
- mma16p1tobit.asc
- mma16p3selection.asc
- mma20p1count.asc
- NLDATA.ASC
- nswre74_all.asc
- patr7079.asc
- propensity_cps.asc
- qreg0902.asc
- strkdur.asc
- vietnam_ex1.asc
- vietnam_ex2.asc
- nswpsid.da1
- DATA66.dat
- MOM.dat
- MOMprecise.dat
- psidf3050.dat
- DATA66.dct
- mma04p1wls.do
- mma04p2qreg.do
- mma04p3iv.do
- mma04p4ivweak.do
- mma05p1mle.do
- mma05p2nls.do
- mma05p3nlsbyml.do
- mma05p4margeffects.do
- mma06p2twostage.do
- mma07p1mltests.do
- mma07p2power.do
- mma07p3montecarlo.do
- mma07p4boot.do
- mma08p1cmtests.do
- mma08p2nonnested.do
- mma08p3diagnostics.do
- mma09p1np.do
- mma09p2npmore.do
- mma09p3kernels.do
- mma10p1gradient.do
- mma11p1boot.do
- mma12p1integration.do
- mma12p2mslmsm.do
- mma12p3draws.do
- mma13p1bayesthm.do
- mma14p1binary.do
- mma15p1mnl.do
- mma15p2gev.do
- mma16p1tobit.do
- mma16p2mills.do
- mma16p3selection.do
- mma17p1km.do
- mma17p2kmextra.do
- mma17p3weib.do
- mma17p4duration.do
- mma18p1heterogeneity.do
- mma19p1comprisks.do
- mma20p1count.do
- mma21p1panbasic.do
- mma21p1panfeandre.do
- mma21p2panmanual.do
- mma21p3panresiduals.do
- mma21p4pangls.do
- mma22p1pangmm.do
- mma23p1pannonlin.do
- mma24p1olscluster.do
- mma24p2poiscluster.do
- mma25p1treatment.do
- mma25p2matching.do
- mma25p3extra.do
- ch7dataforboot.dta
- ema1996.dta
- mma07p4boot.dta
- mma07p4bootreps.dta
- mma11p1boot.dta
- mma11p1bootreps.dta
- nswpsid.dta
- nswre74_control.dta
- nswre74_treated.dta
- probitsimresults.dta
- propensity_cps.dta
- qreg0902.dta
- randdata.dta
- strkdur.dta
- vietnam_ex1.dta
- vietnam_ex2.dta
- xyforsim.dta
- bar2.gif
- mmadata.html
- mmaprograms.html
- mmaprogramsexplain.html
- mma06p1nl2sls.lim
- mma14p2maxscore.lim
- mma15p3mnl.lim
- mma15p4gev.lim
- mma13p2bayesgibbs.log
- mma13p2bayesgibbs.lst
- mma06p1nl2sls.out
- mma14p2maxscore.out
- mma15p3mnl.out
- mma15p4gev.out
- mma13p2bayesgibbs.sas
- mma04p1wls.txt
- mma04p2qreg.txt
- mma04p3iv.txt
- mma04p4ivweak.txt
- mma05p1mle.txt
- mma05p2nls.txt
- mma05p3nlsbyml.txt
- mma05p4margeffects.txt
- mma06p2Theil.txt
- mma06p2twostage.txt
- mma07p1mltests.txt
- mma07p2power.txt
- mma07p3montecarlo.txt
- mma07p4boot.txt
- mma08p1cmtests.txt
- mma08p2nonnested.txt
- mma08p3diagnostics.txt
- mma09p1np.txt
- mma09p2npmore.txt
- mma09p3kernels.txt
- mma10p1gradient.txt
- mma11p1boot.txt
- mma12p1integration.txt
- mma12p2mslmsm.txt
- mma12p3draws.txt
- mma13p1bayesthm.txt
- mma14p1binary.txt
- mma15p1mnl.txt
- mma15p2gev.txt
- mma16p1tobit.txt
- mma16p2mills.txt
- mma16p3selection.txt
- mma17p1km.txt
- mma17p2kmextra.txt
- mma17p3weib.txt
- mma17p4duration.txt
- mma18p1heterogeneity.txt
- mma19p1comprisks.txt
- mma20p1count.txt
- mma21p1panfeandre.txt
- mma21p2panmanual.txt
- mma21p2panresiduals.txt
- mma21p3panresiduals.txt
- mma21p4pangls.txt
- mma22p1pangmm.txt
- mma23p1pannonlin.txt
- mma24p1olscluster.txt
- mma24p2poiscluster.txt
- mma25p1treatment.txt
- mma25p2matching.txt
- mma25p3extra.txt
- readme.txt
- 3.94 MB
- 2015-10-25
-
Chang-Jin Kim State-Space Models with Regime Switching：Classical and Gibbs-Samp.pdf
- 263.47 KB
- 2015-9-28
-
Introduction to Probability Simulation and Gibbs Sampling with R.pdf
USE R - 15.52 MB
- 2015-4-28
-
Variable_selection_in_quantile_regression_via_Gibbs_sampling.pdf
- 361.81 KB
- 2015-1-12
- 3.75 MB
- 2014-8-13
-
FAVAR代码 基于Gibbs抽样估算的贝叶斯法(Gary Koop and Dimitris Korobilis).zip
- 1006.72 KB
- 2014-7-3
- 1.01 MB
- 2014-6-26
-
M-H_Algorithm.pdf
MH_Gibbs_Sampler_学习笔记 - 63.24 KB
- 2014-6-12
-
Adaptive Rejection Metropolis Sampling within Gibbs Sampling.pdf
自适应舍选metropolis抽样与gibbs抽样的结合 - 1.54 MB
- 2014-3-22
-
本附件包括：
- Casella&George_1992_Explaining the Gibbs Sampler.pdf
- Gelman&Rubin_1992_Inference from iterative simulation using multiple sequences.pdf
- The Metropolitan-Hastings Algorithm and Extensions.pdf
- Sinharay_2003_Assessing convergence of the Markov chain Monte Carlo algorithms- A review.pdf
- Wishart_distribution and Inverse-Wishart Sampling.pdf
- Bayesian Data Analysis 2nd edition.pdf
- Bayesian measures of model complexity and fit-DIC.pdf
- Bayesian Semi-parametric and Non-parametric Methods for Marketing and Micro-econometrics.pdf
- Chib&Greenberg_1995_Understanding the Metropolis-Hastings Algorithm.pdf
- Metropolis Sampling for a 2-Valued Random Variable.pdf
- 48.49 MB
- 2014-3-17
-
本附件包括：
- Casella&George_1992_Explaining the Gibbs Sampler.pdf
- Gelman&Rubin_1992_Inference from iterative simulation using multiple sequences.pdf
- The Metropolitan-Hastings Algorithm and Extensions.pdf
- Sinharay_2003_Assessing convergence of the Markov chain Monte Carlo algorithms- A review.pdf
- Wishart_distribution and Inverse-Wishart Sampling.pdf
- Bayesian Data Analysis 2nd edition.pdf
- Bayesian measures of model complexity and fit-DIC.pdf
- Bayesian Semi-parametric and Non-parametric Methods for Marketing and Micro-econometrics.pdf
- Chib&Greenberg_1995_Understanding the Metropolis-Hastings Algorithm.pdf
- 48.4 MB
- 2014-3-17
- 239.1 KB
- 2014-3-17
-
kim-nelson_1.zip
Kim and Nelson, "State-space Models with Regime Switching"的RATS代码和数据文件本附件包括：- clark_bivariate.xls
- ew_excs.prn
- gbs_ato.dat
- gdp4795.prn
- graciela.txt
- int_cpuq.prn
- kimnp037_bi.rpf
- kimnp037_uni.rpf
- kimnp044.rpf
- kimnp048.rpf
- kimnp078_1984.rpf
- kimnp078_1995.rpf
- kimnp082.rpf
- kimnp086.rpf
- kimnp111.rpf
- kimnp115.rpf
- kimnp115gibbs.rpf
- kimnp124.rpf
- kimnp126.rpf
- kimnp180.rpf
- kimnp182.rpf
- kimnp196.rpf
- kimnp218.rpf
- kimnp219.rpf
- kimnp229.rpf
- kimnp247.rpf
- kimnp266.rpf
- s&w.xls
- tvp.xls
- tvpmrkf.prn
- 95.08 KB
- 2014-1-29
-
Functionally induced priors for componentwise Gibbs sampler in the analysis of s.pdf
- 291.03 KB
- 2013-11-5
- 434.24 KB
- 2013-5-13
-
Bayes regression with autoregressive errors _ A Gibbs sampling approach.pdf
- 1008.11 KB
- 2013-3-2
-
Lazear and Gibbs(2007, forthcoming)_Personnel Economics in Practice.pdf
Lazear and Gibbs (2007) Personnel Economics in Practice - 4.67 MB
- 2013-1-29
-
Variable Selection in Quantile Regression Via Gibbs Sampling.pdf
- 357.84 KB
- 2013-1-28
-
BVAR_Gibbs.zip
matlab 程序 - 12.45 KB
- 2012-12-27
-
Gibbs sampling for a duration dependent Markov switching model with an Ap-plicat.pdf
- 165.9 KB
- 2012-5-5
- 2.88 MB
- 2012-5-5
-
120211.zip
Matlab Codes本附件包括：- GibbsSample.m
- setup.m
- README.txt
- cap.m
- LICENSE.txt
- gpl.txt
- FactorGraph.m
- checkFactorGraph.m
- absorb.m
- absorption.m
- absorptionID.m
- ancestors.m
- ancestralorder.m
- ancestralsample.m
- assign.m
- bar3zcolor.m
- bucketelim.m
- condindep.m
- condpot.m
- dag.m
- deltapot.m
- descendents.m
- disptable.m
- divpots.m
- edges.m
- elimtri.m
- evalpot.m
- eyepot.m
- ind2subv.m
- istree.m
- jtassignpot.m
- jtree.m
- jtreeID.m
- lengthcell.m
- markov.m
- maxpot.m
- maxprodFG.m
- maxsumpot.m
- mostprobablepath.m
- multpots.m
- numstates.m
- orderpotfields.m
- orderpot.m
- potscontainingonly.m
- potvariables.m
- randgen.m
- replace.m
- setdiff_unsorted.m
- setevpot.m
- setpot.m
- spantree.m
- subv2ind.m
- triangulateComponent.m
- sumpot.m
- sumpots.m
- sumprodFG.m
- triangulate.m
- triangulatePorder.m
- uniquepots.m
- validgridposition.m
- whichpot.m
- maxarray.m
- connectedComponents.m
- changevar.m
- FactorConnectingVariable.m
- VariableConnectingFactor.m
- drawFG.m
- maxNarray.m
- maxNpot.m
- maxNprodFG.m
- mvrandn.m
- dirrnd.m
- mygamrnd.m
- blanknames.m
- blankstates.m
- MesstoFact.m
- squeezepots.m
- MDPsolve.m
- table.m
- normp.m
- argmax.m
- potsample.m
- logpot.m
- condindepEmp.m
- condMI.m
- count.m
- chi2test.m
- neigh.m
- field2cell.m
- mynchoosek.m
- mynanmean.m
- MDPemDeterministicPolicy.m
- EMqTranMarginal.m
- EMqUtilMarginal.m
- EMminimizeKL.m
- EMvalueTable.m
- EMTotalBetaMessage.m
- sumpotID.m
- IDvars.m
- noselfpath.m
- parents.m
- children.m
- drawJTree.m
- drawNet.m
- drawID.m
- exppot.m
- LoopyBP.m
- MaxFlow.m
- myones.m
- setstate.m
- condindepPot.m
- myzeros.m
- myrand.m
- mostprobablepathmult.m
- mynansum.m
- isoctave.m
- potistyped.m
- logsigma.m
- setfields.m
- PCskeletonOracle.m
- PCorient.m
- PCskeletonData.m
- BDscore.m
- learnBayesNet.m
- normpot.m
- KLdiv.m
- condMIemp.m
- MIemp.m
- squeezestates.m
- JTsample.m
- singleparenttree.m
- neighboursize.m
- argmin.m
- IPF.m
- nonzerovalue.m
- empdist.m
- learnMarkovDecomp.m
- EntropyEmp.m
- mylogsig.m
- grouppot.m
- ungrouppot.m
- groupstate.m
- makeThinJT.m
- gatherstrings.m
- getdimind.m
- EMbeliefnet.m
- majority.m
- nearNeigh.m
- svdm.m
- BayesLogRegressionRVM.m
- CanonVar.m
- GPreg.m
- LogReg.m
- avsigmaGauss.m
- covfnGE.m
- logdet.m
- plsa.m
- plsaCond.m
- sigmoid.m
- sigma.m
- softloss.m
- rbf.m
- kernel.m
- sqdist.m
- BayesLinReg.m
- HMMem.m
- condp.m
- condexp.m
- HMMviterbi.m
- HMMsmooth.m
- HMMforward.m
- HMMbackward.m
- logsumexp.m
- HMMgamma.m
- mixMarkov.m
- pointsCov.m
- GMMem.m
- Kmeans.m
- MIXprodBern.m
- LDSsmooth.m
- LDSsubspace.m
- LDSforwardUpdate.m
- LDSbackwardUpdate.m
- LDSforward.m
- LDSbackward.m
- SLDSforward.m
- SLDSbackward.m
- logeps.m
- mix2mix.m
- placeobject.m
- sumlog.m
- metropolis.m
- logp.m
- compat.m
- betaXbiggerY.m
- HebbML.m
- NaiveBayesTrain.m
- NaiveBayesTest.m
- NaiveBayesDirichletTrain.m
- NaiveBayesDirichletTest.m
- logZdirichlet.m
- SARlearn.m
- ARtrain.m
- HMMforwardSAR.m
- HMMbackwardSAR.m
- HMMsmoothSAR.m
- ARlds.m
- pca.m
- hinton.m
- FA.m
- plotCov.m
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- cca.m
- SLDSmargGauss.m
- binaryMRFmap.m
- GPclass.m
- cliquedecomp.m
- rasch.m
- conjgrad.m
- Contents.m
- 4.63 MB
- 2012-3-20
- 462.89 KB
- 2012-3-18
- 274.98 KB
- 2012-3-7
-
Gibbs1993DeterminantsofCorporateRestructuring.pdf
determinant of corporate restructuring - 1.11 MB
- 2012-1-2
-
Financial-Reporting-Analysis-Manual-by-Charles-H-Gibbson.pdf
财务报表和分析 课后习题答案 - 1021.35 KB
- 2011-10-30
-
State-Space Models with Regime Switching.rar
本附件包括：- State-Space Models with Regime Switching Classical and Gibbs-Sampling Approaches with Applications by Chang-Jin Kim.chm
- 2.68 MB
- 2011-10-26
-
Lazear and Gibbs(2007, forthcoming)_Personnel Economics in Practice.doc
Feel free for the next and young experts - 3.68 MB
- 2011-8-31
-
testing mean reversion in heteroskedastic data based on Gibbs-sampling-augmented.pdf
- 395.69 KB
- 2011-8-3
-
5.变点线性回归.ppt
2.Gibbs抽样.ppt - 1.29 MB
- 2010-12-3
- 130.5 KB
- 2010-12-3
-
本附件包括：
- _数量经济技术经济研究_2009年总目录.pdf
- _中国技术经济论坛2009_南京_召开.pdf
- 基于GVAR模型的产业内生联系与外生冲击分析.pdf
- 技术进步_技术效率与中国农业生产率增长_基于DEA的实证分析.pdf
- 结构失衡_潮涌现象_与通胀_通缩逆转.pdf
- 具有结构突变的小样本GIBBS抽样单位根检验方法研究.pdf
- 数量经济学专业博士研究生课程设置的中外比较分析.pdf
- 我国服务业生产率及其影响因素分析_基于随机前沿生产函数的实证研究.pdf
- 我国股票市场和外汇市场波动溢出效应分析.pdf
- 要素投入_全要素生产率与地区经济差距_基于中国省区数据的实证分析.pdf
- 中国出口贸易外溢效应的分类检验.pdf
- 中国经济中长期增长潜力分析与预测_2008_2020年.pdf
- 中国与世界金融市场从分割走向整合_基于DCC_MGARCH模型的检验.pdf
- 中国制造业行业生产率的变动及影响因素_基于_省略_技术的1998_2007年行业.pdf
- 5.91 MB
- 2010-12-1
- 25.03 MB
- 2010-11-10
- 412.28 KB
- 2010-9-9
-
Bayesian analysis and MCMC 4.zip
本附件包括：- marginal likelihood from Gibbs output.pdf
- Discrete-Time Stochastic Volatili.pdf
- discussion of MCMC-based inference by R.pdf
- Estimation of Stochastic Volatility Models- An.pdf
- Inference With Non-Gaussian Ornstein-Uhlenbeck Processes.pdf
- LectureNotes_6 MCMC.pdf
- marginal likelihood from metropolis-hasting output.pdf
- Markov Chain Monte Carlo for Statistical Inference.pdf
- Markov Chain Monte Carlo Methods for Bayesian Analysis.pdf
- Markov Chain Monte Carlo methods for Generalized Stochastic Volatility Models.pdf
- markov chain monte carlo simulation methods in econometrics.pdf
- Markov Chains for Exploring Posterior Distributions Luke Tierney.pdf
- 5.12 MB
- 2010-9-5
-
Bayesian analysis and MCMC 3.zip
本附件包括：- MCMC and Gibbs sampling.pdf
- MCMC analysis of diffusian model with application to finance.pdf
- MCMC Bayesian Estimation of a Skew-GED Stochastic.pdf
- McMC Estimation of Multiscale Sto.pdf
- MCMC for bayesian analysis.pdf
- MCMC for statistic inference.pdf
- MCMC Methods for Continuous-Time financial econometrics.pdf
- MCMC Methods for Estimating Stochastic volatility model with leverage effect.pdf
- MCMC Methods for Financial Econometrics.pdf
- MCMC methods implemetation and comparison.pdf
- mcmc-gibbs-intro.pdf
- Metropolis in R.pdf
- modeling stochastic volatility with application to stock returns.pdf
- 9.52 MB
- 2010-9-5
-
Bayesian analysis and MCMC 1.zip
本附件包括：- 基于Gibbs抽样的厚尾SV模型贝叶斯分析及其应用.pdf
- understanding the metropolis-hastings algorithm.pdf
- 具有缺失数据的贝叶斯网络结构学习算法研究.pdf
- 基于MCMC方法的粒子滤波改进算法.pdf
- 基于MCMC方法的贝叶斯AR_p_模型分析.pdf
- 基于MCMC的金融市场风险VaR的估计.pdf
- 用MCMC 方法估计常见利率模型.pdf
- 马尔可夫状态转换加随机波动瞬时利率.pdf
- 马尔可夫链.pdf
- 5.92 MB
- 2010-9-5
-
A PARTIALLY COLLAPSED GIBBS SAMPLER FOR PARAMETERS WITH LOCAL.pdf
- 604.11 KB
- 2010-8-10
-
Introduction to Probability Simulation and Gibbs Sampling with R (use R).pdf
- 10.65 MB
- 2010-7-29
-
本附件包括：
- EMM Roll Gibbs v0100 (4).pdf
- RollGibbs 01.sas
- RollGibbs 2-trade case.sas
- RollGibbs Analyze q.sas
- RollGibbs Library 01.sas
- RollGibbs.sas
- RollGibbsBeta 01.sas
- RollGibbsBeta.sas
- 418.37 KB
- 2010-6-23
- 331.04 KB
- 2010-6-14
-
Introduction to Probability Simulation and Gibbs Sampling with R.pdf
- 10.64 MB
- 2010-5-30
- 412.28 KB
- 2010-5-26
-
state-space models with regime switching-Classical and Gibbs-Sampling Approache.pdf
- 38.39 MB
- 2010-5-2
-
HÖLDER-DIFFERENTIABILITY OF GIBBS DISTRIBUTION FUNCTIONS.pdf
- 925.57 KB
- 2010-4-14
- 174.46 KB
- 2010-4-14
-
Markov Chains Gibbs Fields, Monte Carlo Simulation and Queues.pdf
- 9.29 MB
- 2010-3-2
- 1.25 MB
- 2009-7-14
-
330577.pdf
(对MCMC讲得很清楚)Markov Chain Monte Carlo and Gibbs Sampling - 412.28 KB
- 2009-5-28
-
317234.rar
markov chain monte carlo 课件本附件包括：- 2. MCMC Basics--Metropolis, Metropolis-Hastings, and Gibbs Sampling.pdf
- Monte Carlo Strategies in Scientific Computing.pdf
- Monte Carlo Strategies in Scientific Computing ERRATA LIST.pdf
- 6. Cluster sampling with SW-cut.pdf
- 5. Trans-dimensional MCMC.pdf
- 7. Data-driven MCMC Integrating MCMC Search with Discriminative Computing.pdf
- 1. Introduction to Markov Chain Monte Carlo.pdf
- 3. A variety of tricks for MCMC design.pdf
- 4. Convergence and Exact sampling techniques.pdf
- 8.43 MB
- 2009-4-20
-
290139.pdf
[下载]2007年书－Rob J. Krueger, David Gibbs －The Sustainable Development Paradox: Urban - 1.63 MB
- 2009-2-2
-
257190.rar
WinRats6.2 (Only sale 50)本附件包括：- VARLAGSELECT.SRC
- VARMADLM.SRC
- VARSPECTRUM.SRC
- VRATIO.SRC
- YULELAGS.SRC
- YULEVAR.SRC
- ZIVOT.SRC
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- REGANOVA.SRC
- REGCORRS.SRC
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- REGRECUR.SRC
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- ROBUSTLMTEST.SRC
- SHORTANDLONGRUN.SRC
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- VARFPE.SRC
- VARIMAX.SRC
- VARIRF.SRC
- 2.8 MB
- 2008-10-17
-
245535.pdf
应求发书：state-space models with regime switching:Classical and Gibbs-Sampling Approache - 38.39 MB
- 2008-9-10
-
206177.rar
[分享][继续下载]你喜欢的软件肯定有！不信就看一看！本附件包括：- VARLAGSELECT.SRC
- VARMADLM.SRC
- VARSPECTRUM.SRC
- VRATIO.SRC
- YULELAGS.SRC
- YULEVAR.SRC
- ZIVOT.SRC
- INCEXP.TXT
- BONDS.WKS
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- GRUNFELD.WKS
- HSDATA.WKS
- RENTAL.WKS
- RETURNS.WKS
- STATES.WKS
- Rats32s.exe
- Ratsd32s.exe
- CHLI.DLL
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- VARFPE.SRC
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- 2.8 MB
- 2008-4-16
-
202244.pdf
[下载]State-Space Models with Regime Switching- Classical and Gibbs-Sampling Approaches w|该帖是一种市场欺诈行为。 - 79.66 KB
- 2008-3-31
-
149707.pdf
寻State-Space Models with Regime Switching：Classical and Gibbs-Sampling Approaches with - 169.6 KB
- 2007-8-30
-
65395.rar
[分享][下载]WINRATS 6.10本附件包括：- VARLAGSELECT.SRC
- VARMADLM.SRC
- VARSPECTRUM.SRC
- VRATIO.SRC
- YULELAGS.SRC
- YULEVAR.SRC
- ZIVOT.SRC
- INCEXP.TXT
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- CONSUMER.WKS
- GRUNFELD.WKS
- HSDATA.WKS
- RENTAL.WKS
- RETURNS.WKS
- STATES.WKS
- Rats32s.exe
- Ratsd32s.exe
- CHLI.DLL
- Dlxapi32.dll
- AUTO1.ASC
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- BASICS.DAT
- EXDATA.DAT
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- GRUNFELD.DAT
- KLEIN.DAT
- PROBIT.DAT
- union.dat
- ADAPTIVE.PRG
- AKAIKE.PRG
- AR1.PRG
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- RATSDATW.HLP
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- WINRATS.HLP
- BASICS.XLS
- BONDS.XLS
- G10XRATE.XLS
- NLLSMPC.XLS
- PRSMALL.XLS
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- RETURNS.XLS
- HOUSING.CSV
- TRAVEL.CSV
- BASICS.RAT
- CANDATA.RAT
- CITISMPL.RAT
- DOWJONESHAVER.RAT
- EXDATA.RAT
- HAVERATE.RAT
- HAVERSMP.RAT
- JPNSAMPL.RAT
- OECDSMPL.RAT
- RATES.RAT
- RETURNS.RAT
- USADATA.RAT
- POSTLOG.PST
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- RATSERRS.MSG
- AR1.PRN
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- ADFAUTOSELECT.SRC
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- AGFRACTD.SRC
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- ARMASPECTRUM.SRC
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- JOHMLE.SRC
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- LOCALTREND.SRC
- LOGSKEWTDENSITY.SRC
- MACKCVAL.SRC
- MACKINNONCV.SRC
- MARKOV.SRC
- MEANGROUP.SRC
- MESA.SRC
- MIXED.SRC
- MIXVAR.SRC
- MODELCOMPANION.SRC
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- MVGARCHFORE.SRC
- MVIDENT.SRC
- MVJB.SRC
- MVQSTAT.SRC
- PANELFM.SRC
- PDL.SRC
- PDLREG.SRC
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- PPUNIT.SRC
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- PRINFACTORS.SRC
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- REGANOVA.SRC
- REGCORRS.SRC
- REGCRITS.SRC
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- REGTREE.SRC
- ROBUSTLMTEST.SRC
- SHORTANDLONGRUN.SRC
- SPECFORE.SRC
- SPECTRUM.SRC
- SPLOM.SRC
- SSMSPECTRUM.SRC
- STABTEST.SRC
- STARTEST.SRC
- STEPPROBIT.SRC
- STOCKWAT.SRC
- SWAMY.SRC
- SWDOLS.SRC
- SWTRENDS.SRC
- TAR.SRC
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- UFOREERRORS.SRC
- VARCALC.SRC
- VARFPE.SRC
- VARIMAX.SRC
- VARIRF.SRC
- 2.8 MB
- 2006-9-27
-
58082.rar
[分享][下载]WINRATS 6.10本附件包括：- VARFPE.SRC
- VARIMAX.SRC
- VARIRF.SRC
- VARLAGSELECT.SRC
- VARMADLM.SRC
- VARSPECTRUM.SRC
- VRATIO.SRC
- YULELAGS.SRC
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- ZIVOT.SRC
- INCEXP.TXT
- BONDS.WKS
- CONSUMER.WKS
- GRUNFELD.WKS
- HSDATA.WKS
- RENTAL.WKS
- RETURNS.WKS
- STATES.WKS
- Rats32s.exe
- Ratsd32s.exe
- CHLI.DLL
- Dlxapi32.dll
- AUTO1.ASC
- CPS88.ASC
- GARCH.ASC
- TOBACCO.ASC
- RATSTOUR.CNT
- winrats.CNT
- BASICS.DAT
- FOODDATA.DAT
- GRUNFELD.DAT
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- PROBIT.DAT
- union.dat
- ADAPTIVE.PRG
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- GRAPHMATRIX.SRC
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- HISTOGRAM.SRC
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- INTERPOL.SRC
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- LIML.SRC
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- PDL.SRC
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- THRESHOLD.SRC
- THRESHTEST.SRC
- TSAYTEST.SRC
- TVARDET.SRC
- TVARSET.SRC
- UFOREERRORS.SRC
- 2.74 MB
- 2006-7-15
-
37999.rar
[分享]春节贺礼：Kim及与其他共写 的《State Space Models with Regime-Switching》3-11章gauss本附件包括：- Chapter 11 -Gibbs Sampling and Parameter Uncertainty Testing for Mean Reversion in Heteroskedastic Data.doc
- 3.05 KB
- 2006-1-20
-
37998.rar
[分享]春节贺礼：Kim及与其他共写 的《State Space Models with Regime-Switching》3-11章gauss本附件包括：- Chapter 10 - State-Space Models with Markov-Switching and Gibbs Sampling.doc
- 13.96 KB
- 2006-1-20
-
37996.rar
[分享]春节贺礼：Kim及与其他共写 的《State Space Models with Regime-Switching》3-11章gauss本附件包括：- Chapter 9 - Markov-Switching Models and Gibbs Sampling.doc
- 19.92 KB
- 2006-1-20
-
37995.rar
[分享]春节贺礼：Kim及与其他共写 的《State Space Models with Regime-Switching》3-11章gauss本附件包括：- Chapter 8 - State-Space Models and Gibbs Sampling.doc
- 13.86 KB
- 2006-1-20
-
37994.rar
[分享]春节贺礼：Kim及与其他共写 的《State Space Models with Regime-Switching》3-11章gauss本附件包括：- Chapter 7 - An Introduction to Bayesian Inference and Gibbs Sampling.doc
- 5.05 KB
- 2006-1-20
-
13232.rar
[下载]mcmc and its application本附件包括：- Gibbs mcmc.pdf
- mcmc and its application.pdf
- mcmc2.pdf
- mcmc6.pdf
- 1.26 MB
- 2005-4-26
-
13046.rar
Who needs Win RATS 6.0?本附件包括：- RENTAL.WKS
- AUTO1.ASC
- CPS88.ASC
- GARCH.ASC
- TOBACCO.ASC
- RATSTOUR.CNT
- WINRATS.CNT
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- HANSEN.PRG
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- CONSUMER.WKS
- GRUNFELD.WKS
- HSDATA.WKS
- MROZ.RAW
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- STATES.WKS
- INCEXP.TXT
- PatchWise.log
- Rats32s.exe
- Ratsd32s.exe
- CHLI.DLL
- Dlxapi32.dll
- 1.83 MB
- 2005-4-24
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