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Language:
English
Total Size:
5.5 GB
Info Hash:
31443EA2CA2960FA2557010CCC3D55E9EBF76D83
Added By:
Added:
Oct. 22, 2023, 5:45 a.m.
Stats:
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(Last updated: May 19, 2025, 6:22 a.m.)
| File | Size |
|---|---|
| [CourserHub.com].url | 123 bytes |
| Readme.txt | 51 bytes |
| 01_introduction.en.srt | 4.7 KB |
| 01_introduction.en.txt | 3.0 KB |
| 01_introduction.mp4 | 17.8 MB |
| 02_prerequisite-skill-checklist_instructions.html | 2.5 KB |
| 03_read-data_GoogleSearchIndex.txt | 852 bytes |
| 03_read-data_earthquakes.txt | 912 bytes |
| 03_read-data_instructions.html | 3.2 KB |
| 04_model-formulation.en.srt | 10.0 KB |
| 04_model-formulation.en.txt | 5.7 KB |
| 04_model-formulation.mp4 | 59.9 MB |
| 05_review-useful-distributions_instructions.html | 3.3 KB |
| 06_posterior-distribution-derivation_instructions.html | 3.8 KB |
| 07_ar-model-fitting-example_instructions.html | 648.0 KB |
| 08_prediction-for-ar-models.en.srt | 7.9 KB |
| 08_prediction-for-ar-models.en.txt | 4.7 KB |
| 08_prediction-for-ar-models.mp4 | 33.5 MB |
| 09_ar-model-prediction-example_instructions.html | 60.4 KB |
| 10_extended-ar-model_Honor-Extend_AR_model.pdf | 151.0 KB |
| 10_extended-ar-model_instructions.html | 1.0 KB |
| 01_aic-and-bic-in-selecting-the-order-of-ar-process.en.srt | 12.6 KB |
| 01_aic-and-bic-in-selecting-the-order-of-ar-process.en.txt | 6.5 KB |
| 01_aic-and-bic-in-selecting-the-order-of-ar-process.mp4 | 40.7 MB |
| 02_aic-and-bic-example_instructions.html | 114.5 KB |
| 03_deviance-information-criterion-dic.en.srt | 6.1 KB |
| 03_deviance-information-criterion-dic.en.txt | 3.6 KB |
| 03_deviance-information-criterion-dic.mp4 | 20.3 MB |
| 04_dic-example_instructions.html | 102.9 KB |
| 01_prediction-for-location-mixture-of-ar-models.en.srt | 5.0 KB |
| 01_prediction-for-location-mixture-of-ar-models.en.txt | 2.6 KB |
| 01_prediction-for-location-mixture-of-ar-models.mp4 | 13.9 MB |
| 02_full-conditional-distributions-of-model-parameters.en.srt | 18.0 KB |
| 02_full-conditional-distributions-of-model-parameters.en.txt | 9.1 KB |
| 02_full-conditional-distributions-of-model-parameters.mp4 | 102.7 MB |
| 03_coding-the-gibbs-sampler.en.srt | 10.2 KB |
| 03_coding-the-gibbs-sampler.en.txt | 6.3 KB |
| 03_coding-the-gibbs-sampler.mp4 | 24.8 MB |
| 04_sample-code-for-the-gibbs-sampler_instructions.html | 4.3 KB |
| 05_determine-the-number-of-components_instructions.html | 5.3 KB |
| 06_prediction-for-location-mixture-of-ar-model.en.srt | 5.0 KB |
| 06_prediction-for-location-mixture-of-ar-model.en.txt | 2.6 KB |
| 06_prediction-for-location-mixture-of-ar-model.mp4 | 13.9 MB |
| 07_location-and-scale-mixture-of-ar-model_instructions.html | 267.7 KB |
| 01_acknowledgments-and-reference_instructions.html | 2.0 KB |
| 01_welcome-to-bayesian-statistics-time-series.en.srt | 12.1 KB |
| 01_welcome-to-bayesian-statistics-time-series.en.txt | 6.4 KB |
| 01_welcome-to-bayesian-statistics-time-series.mp4 | 27.5 MB |
| 02_introduction-to-r_R-intro.pdf | 612.3 KB |
| 02_introduction-to-r_instructions.html | 1.2 KB |
| 03_list-of-references_instructions.html | 1.6 KB |
| 01_stationarity.en.srt | 6.0 KB |
| 01_stationarity.en.txt | 3.6 KB |
| 01_stationarity.mp4 | 28.1 MB |
| 02_the-autocorrelation-function-acf.en.srt | 8.8 KB |
| 02_the-autocorrelation-function-acf.en.txt | 4.6 KB |
| 02_the-autocorrelation-function-acf.mp4 | 31.6 MB |
| 03_the-partial-autocorrelation-function-pacf_instructions.html | 1.0 KB |
| 03_the-partial-autocorrelation-function-pacf_pacf.pdf | 73.1 KB |
| 04_differencing-and-smoothing_differencing_and_smoothing.pdf | 81.6 KB |
| 04_differencing-and-smoothing_instructions.html | 1.0 KB |
| 05_acf-pacf-differencing-and-smoothing-examples.en.srt | 14.8 KB |
| 05_acf-pacf-differencing-and-smoothing-examples.en.txt | 7.7 KB |
| 05_acf-pacf-differencing-and-smoothing-examples.mp4 | 28.9 MB |
| 06_r-code-differencing-and-filtering-via-moving-averages_instructions.html | 1.5 KB |
| 07_r-code-simulate-data-from-a-white-noise-process_instructions.html | 1.7 KB |
| 01_the-ar-1.en.srt | 16.8 KB |
| 01_the-ar-1.en.txt | 8.6 KB |
| 01_the-ar-1.mp4 | 58.0 MB |
| 02_the-pacf-of-the-ar-1-process_instructions.html | 1.0 KB |
| 02_the-pacf-of-the-ar-1-process_pacf_ar1.pdf | 57.9 KB |
| 03_simulating-from-an-ar-1-process.en.srt | 9.2 KB |
| 03_simulating-from-an-ar-1-process.en.txt | 5.8 KB |
| 03_simulating-from-an-ar-1-process.mp4 | 20.7 MB |
| 04_r-code-sample-data-from-ar-1-processes_instructions.html | 2.8 KB |
| 01_review-of-maximum-likelihood-and-bayesian-inference-in-regression_Bayesian_regression_review.pdf | 90.2 KB |
| 01_review-of-maximum-likelihood-and-bayesian-inference-in-regression_instructions.html | 1.0 KB |
| 02_maximum-likelihood-estimation-in-the-ar-1.en.srt | 18.8 KB |
| 02_maximum-likelihood-estimation-in-the-ar-1.en.txt | 10.9 KB |
| 02_maximum-likelihood-estimation-in-the-ar-1.mp4 | 121.3 MB |
| 03_r-code-mle-for-the-ar-1-examples_instructions.html | 4.1 KB |
| 04_bayesian-inference-in-the-ar-1.en.srt | 10.6 KB |
| 04_bayesian-inference-in-the-ar-1.en.txt | 5.5 KB |
| 04_bayesian-inference-in-the-ar-1.mp4 | 38.8 MB |
| 05_bayesian-inference-in-the-ar-1-conditional-likelihood-example.en.srt | 4.0 KB |
| 05_bayesian-inference-in-the-ar-1-conditional-likelihood-example.en.txt | 2.1 KB |
| 05_bayesian-inference-in-the-ar-1-conditional-likelihood-example.mp4 | 8.4 MB |
| 06_r-code-ar-1-bayesian-inference-conditional-likelihood-example_instructions.html | 2.6 KB |
| 07_bayesian-inference-in-the-ar-1-full-likelihood-example_bayesian_ar1_full_likelihood_example.pdf | 84.6 KB |
| 07_bayesian-inference-in-the-ar-1-full-likelihood-example_instructions.html | 1.1 KB |
| 01_definition-and-state-space-representation.en.srt | 23.5 KB |
| 01_definition-and-state-space-representation.en.txt | 12.0 KB |
| 01_definition-and-state-space-representation.mp4 | 79.8 MB |
| 02_examples.en.srt | 18.6 KB |
| 02_examples.en.txt | 9.7 KB |
| 02_examples.mp4 | 68.9 MB |
| 03_acf-of-the-ar-p.en.srt | 8.8 KB |
| 03_acf-of-the-ar-p.en.txt | 4.6 KB |
| 03_acf-of-the-ar-p.mp4 | 29.1 MB |
| 04_simulating-data-from-an-ar-p.en.srt | 16.5 KB |
| 04_simulating-data-from-an-ar-p.en.txt | 8.5 KB |
| 04_simulating-data-from-an-ar-p.mp4 | 30.6 MB |
| 05_rcode-computing-the-roots-of-the-ar-polynomial_instructions.html | 1.6 KB |
| 06_rcode-simulating-data-from-an-ar-p_instructions.html | 3.7 KB |
| 07_the-ar-p-review_instructions.html | 1.0 KB |
| 07_the-ar-p-review_summary.pdf | 113.7 KB |
| 01_bayesian-inference-in-the-ar-p-reference-prior-conditional-likelihood.en.srt | 7.9 KB |
| 01_bayesian-inference-in-the-ar-p-reference-prior-conditional-likelihood.en.txt | 4.8 KB |
| 01_bayesian-inference-in-the-ar-p-reference-prior-conditional-likelihood.mp4 | 33.1 MB |
| 02_rcode-maximum-likelihood-estimation-ar-p-conditional-likelihood_instructions.html | 1.8 KB |
| 03_model-order-selection.en.srt | 9.6 KB |
| 03_model-order-selection.en.txt | 5.0 KB |
| 03_model-order-selection.mp4 | 24.4 MB |
| 04_example-bayesian-inference-in-the-ar-p-conditional-likelihood.en.srt | 16.1 KB |
| 04_example-bayesian-inference-in-the-ar-p-conditional-likelihood.en.txt | 8.3 KB |
| 04_example-bayesian-inference-in-the-ar-p-conditional-likelihood.mp4 | 34.7 MB |
| 05_rcode-bayesian-inference-ar-p-conditional-likelihood_instructions.html | 3.1 KB |
| 06_rcode-model-order-selection_instructions.html | 3.4 KB |
| 07_spectral-representation-of-the-ar-p.en.srt | 6.0 KB |
| 07_spectral-representation-of-the-ar-p.en.txt | 3.2 KB |
| 07_spectral-representation-of-the-ar-p.mp4 | 17.9 MB |
| 08_spectral-representation-of-the-ar-p-example.en.srt | 7.2 KB |
| 08_spectral-representation-of-the-ar-p-example.en.txt | 3.7 KB |
| 08_spectral-representation-of-the-ar-p-example.mp4 | 13.7 MB |
| 09_rcode-spectral-density-of-ar-p_instructions.html | 2.9 KB |
| 10_arima-processes_ARIMA.pdf | 81.8 KB |
| 10_arima-processes_instructions.html | 1.0 KB |
| 01_ndlm-definition.en.srt | 18.4 KB |
| 01_ndlm-definition.en.txt | 9.7 KB |
| 01_ndlm-definition.mp4 | 61.1 MB |
| 02_polynomial-trend-models.en.srt | 12.8 KB |
| 02_polynomial-trend-models.en.txt | 7.8 KB |
| 02_polynomial-trend-models.mp4 | 49.2 MB |
| 03_regression-models.en.srt | 8.5 KB |
| 03_regression-models.en.txt | 4.3 KB |
| 03_regression-models.mp4 | 29.1 MB |
| 04_summary-of-polynomial-trend-and-regression-models_instructions.html | 1.0 KB |
| 04_summary-of-polynomial-trend-and-regression-models_polynomial_regression_ndlms.pdf | 88.0 KB |
| 05_the-superposition-principle.en.srt | 7.9 KB |
| 05_the-superposition-principle.en.txt | 4.1 KB |
| 05_the-superposition-principle.mp4 | 23.0 MB |
| 06_superposition-principle-general-case_instructions.html | 1.0 KB |
| 06_superposition-principle-general-case_superposition_principle.pdf | 71.0 KB |
| 01_filtering.en.srt | 17.9 KB |
| 01_filtering.en.txt | 10.4 KB |
| 01_filtering.mp4 | 70.5 MB |
| 02_summary-of-the-filtering-distributions_instructions.html | 1.0 KB |
| 02_summary-of-the-filtering-distributions_ndlm_filtering.pdf | 80.3 KB |
| 03_filtering-in-the-ndlm-example.en.srt | 19.6 KB |
| 03_filtering-in-the-ndlm-example.en.txt | 10.1 KB |
| 03_filtering-in-the-ndlm-example.mp4 | 39.1 MB |
| 04_rcode-filtering-in-the-ndlm-example_instructions.html | 8.2 KB |
| 05_smoothing-and-forecasting.en.srt | 13.0 KB |
| 05_smoothing-and-forecasting.en.txt | 7.8 KB |
| 05_smoothing-and-forecasting.mp4 | 18.7 MB |
| 06_summary-of-the-smoothing-and-forecasting-distributions_instructions.html | 1.0 KB |
| 06_summary-of-the-smoothing-and-forecasting-distributions_ndlm_smoothing_forecasting.pdf | 71.2 KB |
| 07_smoothing-in-the-ndlm-example.en.srt | 7.4 KB |
| 07_smoothing-in-the-ndlm-example.en.txt | 4.6 KB |
| 07_smoothing-in-the-ndlm-example.mp4 | 18.7 MB |
| 08_rcode-smoothing-in-the-ndlm-example_instructions.html | 7.7 KB |
| 09_second-order-polynomial-filtering-and-smoothing-example.en.srt | 8.8 KB |
| 09_second-order-polynomial-filtering-and-smoothing-example.en.txt | 5.6 KB |
| 09_second-order-polynomial-filtering-and-smoothing-example.mp4 | 20.0 MB |
| 10_using-the-dlm-package-in-r.en.srt | 9.2 KB |
| 10_using-the-dlm-package-in-r.en.txt | 5.5 KB |
| 10_using-the-dlm-package-in-r.mp4 | 23.5 MB |
| 11_rcode-using-the-dlm-package-in-r_instructions.html | 8.8 KB |
| 01_fourier-representation.en.srt | 18.2 KB |
| 01_fourier-representation.en.txt | 9.5 KB |
| 01_fourier-representation.mp4 | 63.0 MB |
| 02_fourier-representation-example-1_instructions.html | 1.0 KB |
| 02_fourier-representation-example-1_seasonal_models_example1.pdf | 72.3 KB |
| 03_building-ndlms-with-multiple-components-examples.en.srt | 8.3 KB |
| 03_building-ndlms-with-multiple-components-examples.en.txt | 4.2 KB |
| 03_building-ndlms-with-multiple-components-examples.mp4 | 34.8 MB |
| 04_summary-dlm-fourier-representation_instructions.html | 1.0 KB |
| 04_summary-dlm-fourier-representation_seasonal_fourier_dlm.pdf | 92.0 KB |
| 01_filtering-smoothing-and-forecasting-unknown-observational-variance.en.srt | 11.6 KB |
| 01_filtering-smoothing-and-forecasting-unknown-observational-variance.en.txt | 7.2 KB |
| 01_filtering-smoothing-and-forecasting-unknown-observational-variance.mp4 | 17.3 MB |
| 02_summary-of-filtering-smoothing-and-forecasting-distributions-ndlm-unknown_instructions.html | 1.1 KB |
| 02_summary-of-filtering-smoothing-and-forecasting-distributions-ndlm-unknown_ndlm_filtering_smoothing_forecasting_unknown_v.pdf | 105.1 KB |
| 03_specifying-the-system-covariance-matrix-via-discount-factors.en.srt | 17.9 KB |
| 03_specifying-the-system-covariance-matrix-via-discount-factors.en.txt | 10.6 KB |
| 03_specifying-the-system-covariance-matrix-via-discount-factors.mp4 | 76.5 MB |
| 04_ndlm-unknown-observational-variance-example.en.srt | 18.3 KB |
| 04_ndlm-unknown-observational-variance-example.en.txt | 9.5 KB |
| 04_ndlm-unknown-observational-variance-example.mp4 | 35.5 MB |
| 05_rcode-ndlm-unknown-observational-variance-example_instructions.html | 11.0 KB |
| 01_eeg-data.en.srt | 22.1 KB |
| 01_eeg-data.en.txt | 11.5 KB |
| 01_eeg-data.mp4 | 47.0 MB |
| 02_google-trends.en.srt | 18.7 KB |
| 02_google-trends.en.txt | 11.8 KB |
| 02_google-trends.mp4 | 46.3 MB |
| 01_course-introduction.en.srt | 6.9 KB |
| 01_course-introduction.en.txt | 4.4 KB |
| 01_course-introduction.mp4 | 13.6 MB |
| 02_module-1-objectives-assignments-and-supplementary-materials_instructions.html | 2.7 KB |
| 01_background-for-lesson-1_L1_background.pdf | 84.4 KB |
| 01_background-for-lesson-1_instructions.html | 1.1 KB |
| 02_lesson-1-1-classical-and-frequentist-probability.en.srt | 8.0 KB |
| 02_lesson-1-1-classical-and-frequentist-probability.en.txt | 5.0 KB |
| 02_lesson-1-1-classical-and-frequentist-probability.mp4 | 32.3 MB |
| 03_lesson-1-2-bayesian-probability-and-coherence.en.srt | 4.4 KB |
| 03_lesson-1-2-bayesian-probability-and-coherence.en.txt | 2.7 KB |
| 03_lesson-1-2-bayesian-probability-and-coherence.mp4 | 17.9 MB |
| 01_lesson-2-1-conditional-probability.en.srt | 4.9 KB |
| 01_lesson-2-1-conditional-probability.en.txt | 3.0 KB |
| 01_lesson-2-1-conditional-probability.mp4 | 27.5 MB |
| 02_lesson-2-2-bayes-theorem.en.srt | 6.3 KB |
| 02_lesson-2-2-bayes-theorem.en.txt | 3.6 KB |
| 02_lesson-2-2-bayes-theorem.mp4 | 35.5 MB |
| 03_supplementary-material-for-lesson-2_L2_supp-v2.pdf | 29.2 KB |
| 03_supplementary-material-for-lesson-2_instructions.html | 1.2 KB |
| 01_lesson-3-1-bernoulli-and-binomial-distributions.en.srt | 6.2 KB |
| 01_lesson-3-1-bernoulli-and-binomial-distributions.en.txt | 3.8 KB |
| 01_lesson-3-1-bernoulli-and-binomial-distributions.mp4 | 30.0 MB |
| 02_lesson-3-2-uniform-distribution.en.srt | 5.1 KB |
| 02_lesson-3-2-uniform-distribution.en.txt | 3.1 KB |
| 02_lesson-3-2-uniform-distribution.mp4 | 30.1 MB |
| 03_lesson-3-3-exponential-and-normal-distributions.en.srt | 2.6 KB |
| 03_lesson-3-3-exponential-and-normal-distributions.en.txt | 1.6 KB |
| 03_lesson-3-3-exponential-and-normal-distributions.mp4 | 17.1 MB |
| 04_supplementary-material-for-lesson-3_L3_supp.pdf | 152.8 KB |
| 04_supplementary-material-for-lesson-3_instructions.html | 1.4 KB |
| 01_module-2-objectives-assignments-and-supplementary-materials_instructions.html | 3.4 KB |
| 01_background-for-lesson-4_L4_background.pdf | 100.5 KB |
| 01_background-for-lesson-4_instructions.html | 1.2 KB |
| 02_lesson-4-1-confidence-intervals.en.srt | 6.0 KB |
| 02_lesson-4-1-confidence-intervals.en.txt | 3.7 KB |
| 02_lesson-4-1-confidence-intervals.mp4 | 28.2 MB |
| 03_lesson-4-2-likelihood-function-and-maximum-likelihood.en.srt | 7.1 KB |
| 03_lesson-4-2-likelihood-function-and-maximum-likelihood.en.txt | 4.4 KB |
| 03_lesson-4-2-likelihood-function-and-maximum-likelihood.mp4 | 40.6 MB |
| 04_lesson-4-3-computing-the-mle.en.srt | 3.4 KB |
| 04_lesson-4-3-computing-the-mle.en.txt | 2.2 KB |
| 04_lesson-4-3-computing-the-mle.mp4 | 17.4 MB |
| 05_lesson-4-4-computing-the-mle-examples.en.srt | 4.7 KB |
| 05_lesson-4-4-computing-the-mle-examples.en.txt | 2.9 KB |
| 05_lesson-4-4-computing-the-mle-examples.mp4 | 25.4 MB |
| 06_supplementary-material-for-lesson-4_L4_supp-v2.pdf | 105.0 KB |
| 06_supplementary-material-for-lesson-4_instructions.html | 1.2 KB |
| 07_introduction-to-r.en.srt | 8.7 KB |
| 07_introduction-to-r.en.txt | 5.3 KB |
| 07_introduction-to-r.mp4 | 13.1 MB |
| 08_plotting-the-likelihood-in-r.en.srt | 5.0 KB |
| 08_plotting-the-likelihood-in-r.en.txt | 3.1 KB |
| 08_plotting-the-likelihood-in-r.mp4 | 8.6 MB |
| 09_plotting-the-likelihood-in-excel.en.srt | 4.0 KB |
| 09_plotting-the-likelihood-in-excel.en.txt | 2.4 KB |
| 09_plotting-the-likelihood-in-excel.mp4 | 8.9 MB |
| 01_background-for-lesson-5_L5_background.pdf | 127.0 KB |
| 01_background-for-lesson-5_instructions.html | 1.3 KB |
| 02_lesson-5-1-inference-example-frequentist.en.srt | 4.8 KB |
| 02_lesson-5-1-inference-example-frequentist.en.txt | 2.9 KB |
| 02_lesson-5-1-inference-example-frequentist.mp4 | 25.2 MB |
| 03_lesson-5-2-inference-example-bayesian.en.srt | 8.4 KB |
| 03_lesson-5-2-inference-example-bayesian.en.txt | 5.2 KB |
| 03_lesson-5-2-inference-example-bayesian.mp4 | 37.9 MB |
| 04_lesson-5-3-continuous-version-of-bayes-theorem.en.srt | 4.7 KB |
| 04_lesson-5-3-continuous-version-of-bayes-theorem.en.txt | 2.9 KB |
| 04_lesson-5-3-continuous-version-of-bayes-theorem.mp4 | 24.4 MB |
| 05_lesson-5-4-posterior-intervals.en.srt | 8.5 KB |
| 05_lesson-5-4-posterior-intervals.en.txt | 5.2 KB |
| 05_lesson-5-4-posterior-intervals.mp4 | 44.7 MB |
| 06_supplementary-material-for-lesson-5_L5_supp.pdf | 116.7 KB |
| 06_supplementary-material-for-lesson-5_instructions.html | 1.2 KB |
| 01_module-3-objectives-assignments-and-supplementary-materials_instructions.html | 2.3 KB |
| 01_lesson-6-1-priors-and-prior-predictive-distributions.en.srt | 4.6 KB |
| 01_lesson-6-1-priors-and-prior-predictive-distributions.en.txt | 2.8 KB |
| 01_lesson-6-1-priors-and-prior-predictive-distributions.mp4 | 19.5 MB |
| 02_lesson-6-2-prior-predictive-binomial-example.en.srt | 6.0 KB |
| 02_lesson-6-2-prior-predictive-binomial-example.en.txt | 3.7 KB |
| 02_lesson-6-2-prior-predictive-binomial-example.mp4 | 27.3 MB |
| 03_lesson-6-3-posterior-predictive-distribution.en.srt | 5.0 KB |
| 03_lesson-6-3-posterior-predictive-distribution.en.txt | 3.2 KB |
| 03_lesson-6-3-posterior-predictive-distribution.mp4 | 21.1 MB |
| 01_lesson-7-1-bernoulli-binomial-likelihood-with-uniform-prior.en.srt | 2.8 KB |
| 01_lesson-7-1-bernoulli-binomial-likelihood-with-uniform-prior.en.txt | 1.7 KB |
| 01_lesson-7-1-bernoulli-binomial-likelihood-with-uniform-prior.mp4 | 19.3 MB |
| 02_lesson-7-2-conjugate-priors.en.srt | 5.3 KB |
| 02_lesson-7-2-conjugate-priors.en.txt | 3.3 KB |
| 02_lesson-7-2-conjugate-priors.mp4 | 26.0 MB |
| 03_lesson-7-3-posterior-mean-and-effective-sample-size.en.srt | 7.4 KB |
| 03_lesson-7-3-posterior-mean-and-effective-sample-size.en.txt | 4.5 KB |
| 03_lesson-7-3-posterior-mean-and-effective-sample-size.mp4 | 40.4 MB |
| 04_data-analysis-example-in-r.en.srt | 15.3 KB |
| 04_data-analysis-example-in-r.en.txt | 9.5 KB |
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| 04_sample-code-to-illustrate-multimodality-issues-1_instructions.html | 4.7 KB |
| 05_sample-code-to-illustrate-multimodality-issues-2_instructions.html | 3.8 KB |
| 01_bayesian-information-criteria-bic.en.srt | 11.3 KB |
| 01_bayesian-information-criteria-bic.en.txt | 6.8 KB |
| 01_bayesian-information-criteria-bic.mp4 | 54.2 MB |
| 02_bayesian-information-criteria-example.en.srt | 15.4 KB |
| 02_bayesian-information-criteria-example.en.txt | 8.0 KB |
| 02_bayesian-information-criteria-example.mp4 | 18.6 MB |
| 03_sample-code-bayesian-information-criteria_instructions.html | 4.9 KB |
| 04_estimating-the-number-of-components-in-bayesian-settings.en.srt | 10.6 KB |
| 04_estimating-the-number-of-components-in-bayesian-settings.en.txt | 6.6 KB |
| 04_estimating-the-number-of-components-in-bayesian-settings.mp4 | 55.4 MB |
| 05_estimating-the-full-partition-structure-in-bayesian-settings.en.srt | 22.2 KB |
| 05_estimating-the-full-partition-structure-in-bayesian-settings.en.txt | 11.5 KB |
| 05_estimating-the-full-partition-structure-in-bayesian-settings.mp4 | 101.9 MB |
| 06_example-bayesian-inference-for-the-partition-structure.en.srt | 23.9 KB |
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| 06_example-bayesian-inference-for-the-partition-structure.mp4 | 28.8 MB |
| 07_sample-code-for-estimating-the-number-of-components-and-the-partition-structure_instructions.html | 7.3 KB |
| 01__mixturemodels.pdf | 1.4 MB |
| 01__resources.html | 1.1 KB |
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SOURCE: Coursera Bayesian Statistics Specialization
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