table_of_contents_examples.js

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",
    "conditional-autoregressive-model": "Gaussian Processes",
    "log-gaussian-cox-process":"Gaussian Processes",
    "GP-Circular": "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_with_manual_gradients": "Inference in ODE models",
    "ODE_API_introduction": "Inference in ODE models",
    "probabilistic_matrix_factorization": "Case Studies",
    "sampling_conjugate_step":"MCMC",
    "MLDA_introduction": "MCMC",
    "MLDA_simple_linear_regression": "MCMC",
    "MLDA_gravity_surveying": "MCMC",
    "MLDA_variance_reduction_linear_regression": "MCMC",
    "GLM-hierarchical-jax": "MCMC"
}