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Bayesian statistics toolbox

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
@ar_density		@ar_density
@cell_density		@cell_density
@delta_density		@delta_density
@dirichlet_density		@dirichlet_density
@discrete_density		@discrete_density
@fourier_density		@fourier_density
@gamma_density		@gamma_density
@gen_exp_density		@gen_exp_density
@generic_posterior_density		@generic_posterior_density
@hmm_density		@hmm_density
@kernel_density		@kernel_density
@lds_density		@lds_density
@lls_density		@lls_density
@logit_density		@logit_density
@matrix_normal_density		@matrix_normal_density
@matrix_t_density		@matrix_t_density
@mixture_density		@mixture_density
@multinomial_density		@multinomial_density
@normal_density		@normal_density
@normal_mixture_density		@normal_mixture_density
@normal_wishart_density		@normal_wishart_density
@probit_density		@probit_density
@simplicial_mixture_density		@simplicial_mixture_density
@t_density		@t_density
@uniform_density		@uniform_density
@wishart_density		@wishart_density
data		data
.gitignore		.gitignore
Contents.m		Contents.m
LICENSE		LICENSE
README.md		README.md
chebyshev_embedding.m		chebyshev_embedding.m
class_counts.m		class_counts.m
cluster_leaves.m		cluster_leaves.m
density_image.m		density_image.m
draw.m		draw.m
fourier_width_cv.m		fourier_width_cv.m
gaussian_KL.m		gaussian_KL.m
gaussian_embedding.m		gaussian_embedding.m
gen_exp_train_fcn.m		gen_exp_train_fcn.m
is_exponential.m		is_exponential.m
is_gamma.m		is_gamma.m
kernel_logProb.m		kernel_logProb.m
kernel_width_cv.m		kernel_width_cv.m
logProb_indata.m		logProb_indata.m
logSub.m		logSub.m
logit_gradient_theta.m		logit_gradient_theta.m
logit_logProb.m		logit_logProb.m
outer.c		outer.c
outer.m		outer.m
outer.mexw32		outer.mexw32
polynomial_embedding.m		polynomial_embedding.m
posterior_mixture.m		posterior_mixture.m
set_phase.m		set_phase.m
task1.mat		task1.mat
task2.mat		task2.mat
test_ar.m		test_ar.m
test_ar2.m		test_ar2.m
test_cell.m		test_cell.m
test_changepoint.m		test_changepoint.m
test_classify.m		test_classify.m
test_dirichlet.m		test_dirichlet.m
test_dirichlet2.m		test_dirichlet2.m
test_dirichlet3.m		test_dirichlet3.m
test_dirichlet4.m		test_dirichlet4.m
test_discrete.m		test_discrete.m
test_discrete2.m		test_discrete2.m
test_discrim.m		test_discrim.m
test_fourier.m		test_fourier.m
test_gamma.m		test_gamma.m
test_gcgmm_grid.m		test_gcgmm_grid.m
test_gen_exp.m		test_gen_exp.m
test_hmm.m		test_hmm.m
test_hmm2.m		test_hmm2.m
test_kernel2.m		test_kernel2.m
test_kernel_mixture.m		test_kernel_mixture.m
test_lds.m		test_lds.m
test_lds_velocity.m		test_lds_velocity.m
test_lds_velocity2.m		test_lds_velocity2.m
test_lls.m		test_lls.m
test_lls2.m		test_lls2.m
test_lls3.m		test_lls3.m
test_lls5.m		test_lls5.m
test_lls6.m		test_lls6.m
test_lls8.m		test_lls8.m
test_lls9.m		test_lls9.m
test_logit.m		test_logit.m
test_logit2.m		test_logit2.m
test_logit3.m		test_logit3.m
test_logit4.m		test_logit4.m
test_logit_evidence.m		test_logit_evidence.m
test_logit_evidence2.m		test_logit_evidence2.m
test_logit_vs_normal.m		test_logit_vs_normal.m
test_mixture.m		test_mixture.m
test_mixture2.m		test_mixture2.m
test_mixture3.m		test_mixture3.m
test_mixture4.m		test_mixture4.m
test_mixture5.m		test_mixture5.m
test_mixture6.m		test_mixture6.m
test_multinomial.m		test_multinomial.m

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density

Bayesian statistics toolbox for Matlab.

The scripts to generate the figures in myBayesian model selection demo are:

test_poly.m
test_changepoint.m
test_logit3.m

These scripts requirelightspeed to be in your matlab path.

The PCA example is intest_pca.m.

Tom Minka

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