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..
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data
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Chapter_03_00_Bayesian_CLT.ipynb
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Chapter_03_01_Gibbs_sampling_one_sample_t-test.ipynb
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Chapter_03_02_Gibbs_sampling_two_sample_t-test.ipynb
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Chapter_03_03_Gibbs_sampling_for_simple_linear_regression.ipynb
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Chapter_03_04_Gibbs_sampling_for_concussions_data.ipynb
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Chapter_03_05_Step_by_step_illustration_of_Metropolis_sampling.ipynb
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Chapter_03_06_Metropolis_sampling_for_the_concussions_data.ipynb
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Chapter_03_07_Metropolis_sampling_for_the_concussions_data_with_adaptive_tuning.ipynb
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Chapter_03_08_Gibbs_Metropolis_sampling_for_simulated_data.ipynb
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Chapter_03_09_Simple_linear_regression_in_PyMC3.ipynb
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Chapter_03_10_Poisson_gamma_model_in_PyMC3.ipynb
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Chapter_03_11_Convergence_diagnostics_for_a_ill_posed_model.ipynb
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Chapter_03_12_Convergence_diagnostics_for_a_well_behaved_model.ipynb
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Chapter_04_01_Logistic_regression_for_NBA_clutch_free_throws.ipynb
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Chapter_04_03_One-way_random_effects_model_for_the_jaw_data.ipynb
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README.md
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environment.yml
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