text: Gallery.contents = {
      "BEST": "Case Studies",
      "LKJ": "Case Studies",
      "stochastic_volatility": "Case Studies",
      "rugby_analytics": "Case Studies",
      "multilevel_modeling": "Case Studies",
      "putting_workflow": "Case Studies",
      "Diagnosing_biased_Inference_with_Divergences": "Diagnostics and Model Criticism",
      "model_comparison": "Diagnostics and Model Criticism",
      "posterior_predictive": "Diagnostics and Model Criticism",
      "Bayes_factor": "Diagnostics and Model Criticism",
      "GLM": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-linear": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-logistic": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-hierarchical-binominal-model": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-hierarchical": "(Generalized) Linear and Hierarchical Linear Models",
      "hierarchical_partial_pooling": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-model-selection": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-negative-binomial-regression": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-poisson-regression": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-robust-with-outlier-detection": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-robust": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-rolling-regression": "(Generalized) Linear and Hierarchical Linear Models",
      "GLM-hierarchical-advi-minibatch": "(Generalized) Linear and Hierarchical Linear Models",
      "GP-Kron": "Gaussian Processes",
      "GP-Latent": "Gaussian Processes",
      "GP-Marginal": "Gaussian Processes",
      "GP-MaunaLoa": "Gaussian Processes",
      "GP-MaunaLoa2": "Gaussian Processes",
      "GP-MeansAndCovs": "Gaussian Processes",
      "GP-SparseApprox": "Gaussian Processes",
      "GP-TProcess": "Gaussian Processes",
      "GP-smoothing": "Gaussian Processes",
      "gaussian_process": "Gaussian Processes",
      "dependent_density_regression": "Mixture Models",
      "dp_mix": "Mixture Models",
      "gaussian-mixture-model-advi": "Mixture Models",
      "gaussian_mixture_model": "Mixture Models",
      "marginalized_gaussian_mixture_model": "Mixture Models",
      "SMC2_gaussians": "Simulation-based Inference",
      "SMC-ABC_Lotka-Volterra_example": "Simulation-based Inference",
      "bayes_param_survival_pymc3": "Survival Analysis",
      "censored_data": "Survival Analysis",
      "survival_analysis": "Survival Analysis",
      "weibull_aft": "Survival Analysis",
      "cox_model": "Survival Analysis",
      "MvGaussianRandomWalk_demo": "Time Series",
      "AR": "Time Series",
      "Euler-Maruyama_and_SDEs": "Time Series",
      "bayesian_neural_network_advi": "Variational Inference",
      "convolutional_vae_keras_advi": "Variational Inference",
      "empirical-approx-overview": "Variational Inference",
      "lda-advi-aevb": "Variational Inference",
      "normalizing_flows_overview": "Variational Inference",
      "gaussian-mixture-model-advi": "Variational Inference",
      "GLM-hierarchical-advi-minibatch": "Variational Inference",
      "ODE_parameter_estimation": "Inference in ODE models",
      "ODE_API_parameter_estimation": "Inference in ODE models"
  }
  