文件名称:tetonedge-bayesf-7348d7d3ba02

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  • [Matlab] [源码]
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  • 2014-05-02
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Bayesian Estimation of Markov Switching Models based on Fruehwirth-Schattner (WU-Wien).
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tetonedge-bayesf-7348d7d3ba02

.............................\GNP.DAT

.............................\autocov.m

.............................\auxmix_binomial.m

.............................\auxmix_initialize_binomial.m

.............................\auxmix_initialize_poisson.m

.............................\auxmix_poisson.m

.............................\boxplotvar.m

.............................\bridgesampling_se.m

.............................\chib_se.m

.............................\compute_mixture.m

.............................\contmix.m

.............................\contmixskewnormal.m

.............................\contmixskewstud.m

.............................\contmixstud.m

.............................\countex.m

.............................\data_fabric_fault.m

.............................\dataclass.m

.............................\dataget.m

.............................\datamoments.m

.............................\dataplot.m

.............................\demo_binomial.m

.............................\demo_figure2_1.m

.............................\demo_figure2_2.m

.............................\demo_mix_binomial.m

.............................\demo_mix_exponential.m

.............................\demo_mix_multivariate_normal.m

.............................\demo_mix_multivariate_normal_Kunknown.m

.............................\demo_mix_multivariate_student.m

.............................\demo_mix_multivariate_student_Kunknown.m

.............................\demo_mix_normal.m

.............................\demo_mix_normal_Kunknown.m

.............................\demo_mix_normal_mu0_Kunknown.m

.............................\demo_mix_student.m

.............................\demo_mix_student_Kunknown.m

.............................\demo_mixreg.m

.............................\demo_mixreg_mixeffects.m

.............................\demo_msar.m

.............................\demo_msar_reg.m

.............................\demo_msar_reg_mixeffects.m

.............................\demo_msm_multivariate_normal_Kunknown.m

.............................\demo_msreg.m

.............................\demo_msreg_mixeffects.m

.............................\demo_multinomial.m

.............................\demo_multivariate_skewnormal.m

.............................\demo_negbin.m

.............................\demo_poisson_mix_reg.m

.............................\demo_poisson_mix_reg_Kfix.m

.............................\demo_poisson_mix_reg_mixed_effects.m

.............................\demo_poisson_reg_mixed_effects.m

.............................\demo_regression_mix_binomial.m

.............................\demo_regression_negbin.m

.............................\designar.m

.............................\dirichpdflog.m

.............................\dirichsim.m

.............................\eval_tcdf_skewt.m

.............................\eye_dat.mat

.............................\fish_data.m

.............................\histneu.m

.............................\invwisim.m

.............................\iris_data.dat

.............................\lamb_dat.mat

.............................\likeli_binomial.m

.............................\likeli_expon.m

.............................\likeli_multinomial.m

.............................\likeli_negbin.m

.............................\likeli_normal.m

.............................\likeli_normult.m

.............................\likeli_poisson.m

.............................\likeli_skewnormal.m

.............................\likeli_skewnormult.m

.............................\likeli_skewstudent.m

.............................\likeli_skewstudmult.m

.............................\likeli_skewstudmult_cd.m

.............................\likeli_student.m

.............................\likeli_stumult.m

.............................\likelihoodeval.m

.............................\logprior_mixpoi_hpmarg.m

.............................\maketab.m

.............................\marginallikelihood_eval.m

.............................\marstat.m

.............................\mc.m

.............................\mcmc_negbin_df.m

...................

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