Broken notebooks

Using the logic from #740 to run the notebooks either mocked or not.

Example command: python -m scripts/notebook_runner/runner.py --notebooks examples/casual_inference

This will print out the errors with are used in the specific issues.

• bayesian_nonparametric_causal.ipynb
  • checked
  • runs without error #724
• excess_deaths.ipynb
  • checked
  • runs without error
• regression_discontinuity.ipynb
  • checked
  • runs without error #725
• moderation_analysis.ipynb
  • checked
  • runs without error
• mediation_analysis.ipynb
  • checked
  • runs without error
• GLM-simpsons-paradox.ipynb
  • checked
  • runs without error
• difference_in_differences.ipynb
  • checked
  • runs without error
• bayesian_ab_testing_introduction.ipynb
  • checked
  • runs without error
• interventional_distribution.ipynb
  • checked
  • runs without error
• interrupted_time_series.ipynb
  • checked
  • runs without error

• DEMetropolisZ_tune_drop_fraction.ipynb
  • checked
  • runs without error
• lasso_block_update.ipynb
  • checked
  • runs without error
• DEMetropolisZ_EfficiencyComparison.ipynb
  • checked
  • runs without error #731
• fast_sampling_with_jax_and_numba.ipynb
  • checked
  • runs without error
• MLDA_variance_reduction_linear_regression.ipynb
  • checked
  • runs without error #729
• SMC2_gaussians.ipynb
  • checked
  • runs without error
• sampling_conjugate_step.ipynb
  • checked
  • runs without error #730
• MLDA_introduction.ipynb
  • checked
  • runs without error
• SMC-ABC_Lotka-Volterra_example.ipynb
  • checked
  • runs without error #732
• sampling_compound_step.ipynb
  • checked
  • runs without error #728
• MLDA_simple_linear_regression.ipynb
  • checked
  • runs without error #727
• MLDA_gravity_surveying.ipynb
  • checked
  • runs without error #726

• bayes_param_survival.ipynb
  • checked
  • runs without error
• survival_analysis.ipynb
  • checked
  • runs without error
• weibull_aft.ipynb
  • checked
  • runs without error #746
• censored_data.ipynb
  • checked
  • runs without error
• frailty_models.ipynb
  • checked
  • runs without error

• bayesian_var_model.ipynb
  • checked
  • runs without error
• MvGaussianRandomWalk_demo.ipynb
  • checked
  • runs without error
• Time_Series_Generative_Graph.ipynb
  • checked
  • runs without error
• Air_passengers-Prophet_with_Bayesian_workflow.ipynb
  • checked
  • runs without error
• Euler-Maruyama_and_SDEs.ipynb
  • checked
  • runs without error
• Forecasting_with_structural_timeseries.ipynb
  • checked
  • runs without error
• stochastic_volatility.ipynb
  • checked
  • runs without error
• longitudinal_models.ipynb
  • checked
  • runs without error
• AR.ipynb
  • checked
  • runs without error

• GLM-discrete-choice_models.ipynb
  • checked
  • runs without error
• GLM-robust.ipynb
  • checked
  • runs without error
• GLM-binomial-regression.ipynb
  • checked
  • runs without error
• GLM-negative-binomial-regression.ipynb
  • checked
  • runs without error
• multilevel_modeling.ipynb
  • checked
  • runs without error
• GLM-out-of-sample-predictions.ipynb
  • checked
  • runs without error
• GLM-model-selection.ipynb
  • checked
  • runs without error
• GLM-hierarchical-binomial-model.ipynb
  • checked
  • runs without error
• GLM-rolling-regression.ipynb
  • checked
  • runs without error
• GLM-truncated-censored-regression.ipynb
  • checked
  • runs without error
• GLM-robust-with-outlier-detection.ipynb
  • checked
  • runs without error
• GLM-ordinal-regression.ipynb
  • checked
  • runs without error
• GLM-poisson-regression.ipynb
  • checked
  • runs without error

• bart_categorical_hawks.ipynb
  • checked
  • runs without error
• bart_quantile_regression.ipynb
  • checked
  • runs without error
• bart_heteroscedasticity.ipynb
  • checked
  • runs without error
• bart_introduction.ipynb
  • checked
  • runs without error

• api_quickstart.ipynb
  • checked
  • runs without error

• empirical-approx-overview.ipynb
  • checked
  • runs without error
• variational_api_quickstart.ipynb
  • checked
  • runs without error
• pathfinder.ipynb
  • checked
  • runs without error
• GLM-hierarchical-advi-minibatch.ipynb
  • checked
  • runs without error
• bayesian_neural_network_advi.ipynb
  • checked
  • runs without error

• wrapping_jax_function.ipynb
  • checked
  • runs without error
• model_builder.ipynb
  • checked
  • runs without error
• copula-estimation.ipynb
  • checked
  • runs without error
• Missing_Data_Imputation.ipynb
  • checked
  • runs without error
• profiling.ipynb
  • checked
  • runs without error
• spline.ipynb
  • checked
  • runs without error
• updating_priors.ipynb
  • checked
  • runs without error
• howto_debugging.ipynb
  • checked
  • runs without error
• LKJ.ipynb
  • checked
  • runs without error
• marginalizing-models.ipynb
  • checked
  • runs without error
• blackbox_external_likelihood_numpy.ipynb
  • checked
  • runs without error

• factor_analysis.ipynb
  • checked
  • runs without error
• item_response_nba.ipynb
  • checked
  • runs without error
• CFA_SEM.ipynb
  • checked
  • runs without error
• reliability_and_calibrated_prediction.ipynb
  • checked
  • runs without error
• GEV.ipynb
  • checked
  • runs without error
• binning.ipynb
  • checked
  • runs without error #744
• putting_workflow.ipynb
  • checked
  • runs without error
• reinforcement_learning.ipynb
  • checked
  • runs without error
• probabilistic_matrix_factorization.ipynb
  • checked
  • runs without error #743
• BEST.ipynb
  • checked
  • runs without error
• rugby_analytics.ipynb
  • checked
  • runs without error
• hierarchical_partial_pooling.ipynb
  • checked
  • runs without error

• gaussian_process.ipynb
  • checked
  • runs without error
• GP-Latent.ipynb
  • checked
  • runs without error
• GP-Heteroskedastic.ipynb
  • checked
  • runs without error
• GP-SparseApprox.ipynb
  • checked
  • runs without error
• GP-smoothing.ipynb
  • checked
  • runs without error
• GP-MaunaLoa.ipynb
  • checked
  • runs without error
• log-gaussian-cox-process.ipynb
  • checked
  • runs without error
• HSGP-Advanced.ipynb
  • checked
  • runs without error
• GP-Births.ipynb
  • checked
  • runs without error
• GP-Marginal.ipynb
  • checked
  • runs without error
• GP-Kron.ipynb
  • checked
  • runs without error
• HSGP-Basic.ipynb
  • checked
  • runs without error
• GP-Circular.ipynb
  • checked
  • runs without error
• GP-MaunaLoa2.ipynb
  • checked
  • runs without error
• GP-MeansAndCovs.ipynb
  • checked
  • runs without error
• GP-TProcess.ipynb
  • checked
  • runs without error
• MOGP-Coregion-Hadamard.ipynb
  • checked
  • runs without error

• dependent_density_regression.ipynb
  • checked
  • runs without error #741
• marginalized_gaussian_mixture_model.ipynb
  • checked
  • runs without error #742
• dp_mix.ipynb
  • checked
  • runs without error
• gaussian_mixture_model.ipynb
  • checked
  • runs without error
• dirichlet_mixture_of_multinomials.ipynb
  • checked
  • runs without error

• ODE_API_shapes_and_benchmarking.ipynb
  • checked
  • runs without error #736
• ODE_Lotka_Volterra_multiple_ways.ipynb
  • checked
  • runs without error #739
• ODE_API_introduction.ipynb
  • checked
  • runs without error #738
• ODE_with_manual_gradients.ipynb
  • checked
  • runs without error #737

• malaria_prevalence.ipynb
  • checked
  • runs without error #735
• conditional_autoregressive_priors.ipynb
  • checked
  • runs without error
• nyc_bym.ipynb
  • checked
  • runs without error

• Bayes_factor.ipynb
  • checked
  • runs without error
• Diagnosing_biased_Inference_with_Divergences.ipynb
  • checked
  • runs without error #733
• model_averaging.ipynb
  • checked
  • runs without error #734
• sampler-stats.ipynb
  • checked
  • runs without error