.. _examples:

********
Examples
********

Howto
=====

.. toctree::
   notebooks/api_quickstart.ipynb
   notebooks/sampler-stats.ipynb
   notebooks/Diagnosing_biased_Inference_with_Divergences.ipynb
   notebooks/posterior_predictive.ipynb
   notebooks/howto_debugging.ipynb
   notebooks/PyMC3_tips_and_heuristic.ipynb
   notebooks/LKJ.ipynb
   notebooks/live_sample_plots.ipynb

Applied
=======

.. toctree::
   notebooks/BEST.ipynb
   notebooks/multilevel_modeling.ipynb
   notebooks/stochastic_volatility.ipynb
   notebooks/probabilistic-matrix-factorization.ipynb
   notebooks/rugby_analytics.ipynb
   notebooks/survival_analysis.ipynb
   notebooks/dawid-skene.ipynb

GLM
===

.. toctree::
   notebooks/GLM-linear.ipynb
   notebooks/GLM-robust.ipynb
   notebooks/GLM-robust-with-outlier-detection.ipynb
   notebooks/GLM-model-selection.ipynb
   notebooks/GLM-rolling-regression.ipynb
   notebooks/GLM-hierarchical.ipynb
   notebooks/GLM-poisson-regression.ipynb
   notebooks/hierarchical_partial_pooling.ipynb
   notebooks/GLM-negative-binomial-regression.ipynb

Gaussian Processes
==================

.. toctree::
   notebooks/GP-introduction.ipynb
   notebooks/GP-covariances.ipynb
   notebooks/GP-slice-sampling.ipynb
   notebooks/GP-smoothing.ipynb

Mixture Models
==============

.. toctree::
   notebooks/gaussian_mixture_model.ipynb
   notebooks/marginalized_gaussian_mixture_model.ipynb
   notebooks/gaussian-mixture-model-advi.ipynb
   notebooks/dp_mix.ipynb
   notebooks/dependent_density_regression.ipynb

Variational Inference
=====================

.. toctree::
   notebooks/GLM-hierarchical-ADVI.ipynb
   notebooks/GLM-hierarchical-advi-minibatch.ipynb
   notebooks/lda-advi-aevb.ipynb
   notebooks/bayesian_neural_network_advi.ipynb
   notebooks/convolutional_vae_keras_advi.ipynb
   notebooks/bayesian_neural_network_opvi-advi.ipynb
