filter-Kalman\AR_to_SS.m

.............\convert_to_lagged_form.m

.............\ensure_AR.m

.............\eval_AR_perf.m

.............\kalman_filter.m

.............\kalman_forward_backward.m

.............\kalman_smoother.m

.............\kalman_update.m

.............\KPMstats\#histCmpChi2.m#

.............\........\beta_sample.m

.............\........\chisquared_histo.m

.............\........\chisquared_prob.m

.............\........\chisquared_readme.txt

.............\........\chisquared_table.m

.............\........\clg_Mstep.m

.............\........\clg_Mstep_simple.m

.............\........\clg_prob.m

.............\........\condGaussToJoint.m

.............\........\condgaussTrainObserved.m

.............\........\condgauss_sample.m

.............\........\cond_indep_fisher_z.m

.............\........\convertBinaryLabels.m

.............\........\CVS\Entries

.............\........\...\Entries.Extra

.............\........\...\Entries.Extra.Old

.............\........\...\Entries.Old

.............\........\...\Repository

.............\........\...\Root

.............\........\...\Template

.............\........\cwr_demo.m

.............\........\cwr_em.m

.............\........\cwr_predict.m

.............\........\cwr_prob.m

.............\........\cwr_readme.txt

.............\........\cwr_test.m

.............\........\dirichletpdf.m

.............\........\dirichletrnd.m

.............\........\dirichlet_sample.m

.............\........\distchck.m

.............\........\eigdec.m

.............\........\est_transmat.m

.............\........\fit_paritioned_model_testfn.m

.............\........\fit_partitioned_model.m

.............\........\gamma_sample.m

.............\........\gaussian_prob.m

.............\........\gaussian_sample.m

.............\........\histCmpChi2.m

.............\........\histCmpChi2.m~

.............\........\KLgauss.m

.............\........\linear_regression.m

.............\........\logist2.m

.............\........\logist2Apply.m

.............\........\logist2ApplyRegularized.m

.............\........\logist2Fit.m

.............\........\logist2FitRegularized.m

.............\........\logistK.m

.............\........\logistK_eval.m

.............\........\marginalize_gaussian.m

.............\........\matrix_normal_pdf.m

.............\........\matrix_T_pdf.m

.............\........\mc_stat_distrib.m

.............\........\mixgauss_classifier_apply.m

.............\........\mixgauss_classifier_train.m

.............\........\mixgauss_em.m

.............\........\mixgauss_init.m

.............\........\mixgauss_Mstep.m

.............\........\mixgauss_prob.m

.............\........\mixgauss_prob_test.m

.............\........\mixgauss_sample.m

.............\........\mkPolyFvec.m

.............\........\mk_unit_norm.m

.............\........\multinomial_prob.m

.............\........\multinomial_sample.m

.............\........\multipdf.m

.............\........\multirnd.m

.............\........\normal_coef.m

.............\........\partial_corr_coef.m

.............\........\parzen.m

.............\........\parzenC.c

.............\........\parzenC.dll

.............\........\parzenC.mexglx

.............\........\parzenC_test.m

.............\........\parzen_fit_select_unif.m

.............\........\pca.m

.............\........\README.txt

.............\........\rndcheck.m

.............\........\sample.m

.............\........\sample_discrete.m

.............\........\sample_gaussian.m

.............\........\standardize.m

.............\........\standardize.m~

.............\........\student_t_logprob.m

.............\........\student_t_prob.m

.............\........\test_dir.m

.............\........\unidrndKPM.m

.............\........\unidrndKPM.m~

.............\........\unif_discrete_sample.m

.............\........\weightedRegression.m

.............\...tools\approxeq.m

.............\........\approx_unique.m