Name
..
AR.ipynb
BEST.ipynb
Bayes_factor.ipynb
Diagnosing_biased_Inference_with_Divergences.ipynb
Euler-Maruyama and SDEs.ipynb
GLM-hierarchical-advi-minibatch.ipynb
GLM-hierarchical-binominal-model.ipynb
GLM-hierarchical.ipynb
GLM-linear.ipynb
GLM-logistic.ipynb
GLM-model-selection.ipynb
GLM-negative-binomial-regression.ipynb
GLM-poisson-regression.ipynb
GLM-robust-with-outlier-detection.ipynb
GLM-robust.ipynb
GLM-rolling-regression.ipynb
GLM.ipynb
GP-Latent.ipynb
GP-Marginal.ipynb
GP-MaunaLoa.ipynb
GP-MeansAndCovs.ipynb
GP-SparseApprox.ipynb
GP-TProcess.ipynb
GP-slice-sampling.ipynb
GP-smoothing.ipynb
LKJ.ipynb
MvGaussianRandomWalk_demo.ipynb
PyMC3_tips_and_heuristic.ipynb
SMC2_gaussians.ipynb
api_quickstart.ipynb
bayesian_neural_network_advi.ipynb
bayesian_neural_network_with_sgfs.ipynb
constant_stochastic_gradient.ipynb
convolutional_vae_keras_advi.ipynb
cox_model.ipynb
dawid-skene.ipynb
dependent_density_regression.ipynb
dp_mix.ipynb
empirical-approx-overview.ipynb
gaussian-mixture-model-advi.ipynb
gaussian_mixture_model.ipynb
gaussian_process.ipynb
getting_started.ipynb
hierarchical_partial_pooling.ipynb
howto_debugging.ipynb
lasso_block_update.ipynb
lda-advi-aevb.ipynb
live_sample_plots.ipynb
marginalized_gaussian_mixture_model.ipynb
model_averaging.ipynb
model_comparison.ipynb
multilevel_modeling.ipynb
normalizing_flows_overview.ipynb
posterior_predictive.ipynb
probabilistic_matrix_factorization.ipynb
profiling.ipynb
rugby_analytics.ipynb
sampler-stats.ipynb
sgfs_simple_optimization.ipynb
stochastic_volatility.ipynb
survival_analysis.ipynb
updating_priors.ipynb
variational_api_quickstart.ipynb
smc.png