[CourseClub.Me] Coursera – Bayesian Statistics Specialization

Creation Time	Sept. 11, 2025, 4:36 p.m.
Last Access Time	Oct. 11, 2025, 4:41 a.m.
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Keywords	Me Statistics CourseClub Coursera – Bayesian Specialization
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Total Files	611
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Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 107.6 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 104.0 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 102.7 MB
Coursera - Bayesian Statistics Mixture Models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/01_em-for-general-mixtures.mp4 98.4 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 91.4 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/01_definition-and-state-space-representation.mp4 79.8 MB
Coursera - Bayesian Statistics Time Series Analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/01_filtering.mp4 70.5 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 68.9 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 63.0 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 60.3 MB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/04_model-formulation.mp4 59.9 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/01_density-estimation/01_density-estimation-using-mixture-models.mp4 58.2 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/04_the-likelihood-function.mp4 56.3 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/05_data-analysis-example-in-excel.mp4 52.0 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/02_demonstration.mp4 48.9 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/01_eeg-data.mp4 47.0 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/02_google-trends.mp4 46.3 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/01_introduction-to-anova.mp4 45.6 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/05_lesson-5-4-posterior-intervals.mp4 44.7 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/04_poisson-data/01_lesson-8-1-poisson-data.mp4 44.2 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/03_posterior-derivation.mp4 43.9 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/01_algorithm.mp4 42.8 MB
Coursera - Bayesian Statistics Mixture Models/05_practical-considerations/01_computational-considerations-for-mixture-models/01_numerical-stability.mp4 41.5 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/01_components-of-bayesian-models.mp4 40.7 MB
Coursera - Bayesian Statistics Capstone Project/02_model-selection-criteria/01_week-2/01_aic-and-bic-in-selecting-the-order-of-ar-process.mp4 40.7 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/03_lesson-4-2-likelihood-function-and-maximum-likelihood.mp4 40.6 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/01_correlated-data.mp4 38.7 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/02_one-way-model-using-jags.mp4 38.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/03_lesson-5-2-inference-example-bayesian.mp4 37.9 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/01_monte-carlo-integration.mp4 37.9 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/04_9-logistic-regression/02_jags-model-logistic-regression.mp4 36.9 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/02_1-statistical-modeling/02_modeling-process.mp4 36.9 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/05_linear-regression/02_linear-regression-in-r.mp4 36.3 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/05_linear-regression/03_linear-regression-in-excel-analysis-toolpak.mp4 36.0 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/04_random-walk-example-part-2.mp4 36.0 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/03_bayes-theorem/02_lesson-2-2-bayes-theorem.mp4 35.5 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/05_linear-regression/04_linear-regression-in-excel-statplus-by-analystsoft.mp4 35.2 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/02_jags-model-poisson-regression.mp4 35.0 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/04_data-analysis-example-in-r.mp4 34.7 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/04_non-conjugate-models.mp4 34.2 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/02_model-specification.mp4 34.2 MB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/08_prediction-for-ar-models.mp4 33.5 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/04_model-checking.mp4 33.2 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/01_introduction-to-linear-regression.mp4 33.1 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/01_hierarchical-representations.mp4 32.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/02_probability/02_lesson-1-1-classical-and-frequentist-probability.mp4 32.3 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/02_1-statistical-modeling/01_objectives.mp4 32.0 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/06_linear-regression-example.mp4 31.1 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/04_simulating-data-from-an-ar-p.mp4 30.6 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/01_trace-plots-autocorrelation.mp4 30.5 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/03_computing-examples.mp4 30.3 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/04_5-gibbs-sampling/03_computing-example-with-normal-likelihood.mp4 30.2 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/04_review-of-distributions/02_lesson-3-2-uniform-distribution.mp4 30.1 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/03_acf-of-the-ar-p.mp4 29.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/02_lesson-4-1-confidence-intervals.mp4 28.2 MB
Coursera - Bayesian Statistics Time Series Analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/02_stationarity-the-acf-and-the-pacf/01_stationarity.mp4 28.1 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/04_9-logistic-regression/03_prediction.mp4 28.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/03_bayes-theorem/01_lesson-2-1-conditional-probability.mp4 27.5 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/02_priors/02_lesson-6-2-prior-predictive-binomial-example.mp4 27.3 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/04_9-logistic-regression/01_introduction-to-logistic-regression.mp4 26.9 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/04_mixture-models/02_mixture-model-in-jags.mp4 26.5 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/02_lesson-7-2-conjugate-priors.mp4 26.0 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/05_lesson-4-4-computing-the-mle-examples.mp4 25.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/02_lesson-5-1-inference-example-frequentist.mp4 25.2 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/03_coding-the-gibbs-sampler.mp4 24.8 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/03_model-order-selection.mp4 24.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/04_lesson-5-3-continuous-version-of-bayes-theorem.mp4 24.4 MB
Coursera - Bayesian Statistics Mixture Models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/05_em-example-2.mp4 24.2 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/07_linear-regression-example-in-jags.mp4 24.2 MB
Coursera - Bayesian Statistics Mixture Models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/07_mcmc-example-2.mp4 22.6 MB
Coursera - Bayesian Statistics Mixture Models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/03_em-example-1.mp4 22.1 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/02_clustering/02_clustering-example.mp4 22.0 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/03_classification/03_classification-example.mp4 21.6 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/03_normal-data/01_lesson-10-1-normal-likelihood-with-variance-known.mp4 21.3 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/02_priors/03_lesson-6-3-posterior-predictive-distribution.mp4 21.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/02_exponential-data/01_lesson-9-1-exponential-data.mp4 20.9 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/03_jags-model-linear-regression.mp4 20.8 MB
Coursera - Bayesian Statistics Mixture Models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/05_mcmc-example-1.mp4 20.8 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/03_jags/02_model-writing-running-and-post-processing.mp4 20.6 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/01_density-estimation/02_density-estimation-example.mp4 20.6 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/03_random-walk-example-part-1.mp4 20.5 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/05_alternative-models.mp4 20.4 MB
Coursera - Bayesian Statistics Capstone Project/02_model-selection-criteria/01_week-2/03_deviance-information-criterion-dic.mp4 20.3 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/04_computing-monte-carlo-error.mp4 20.1 MB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/01_module-overview/01_course-introduction.mp4 20.0 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/06_zero-inflated-mixtures.mp4 19.6 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/02_priors/01_lesson-6-1-priors-and-prior-predictive-distributions.mp4 19.5 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/02_setup-in-r.mp4 19.4 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/03_predictive-distributions.mp4 19.4 MB
Coursera - Bayesian Statistics Time Series Analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/05_smoothing-and-forecasting.mp4 18.7 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/03_prior-predictive-simulation.mp4 18.0 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/02_probability/03_lesson-1-2-bayesian-probability-and-coherence.mp4 17.9 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/07_spectral-representation-of-the-ar-p.mp4 17.9 MB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/01_introduction.mp4 17.8 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/03_multiple-chains-burn-in-gelman-rubin-diagnostic.mp4 17.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/04_lesson-4-3-computing-the-mle.mp4 17.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/03_normal-data/02_lesson-10-2-normal-likelihood-with-variance-unknown.mp4 17.4 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/02_mixtures-of-gaussians.mp4 16.6 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/04_alternative-priors/02_lesson-11-2-jeffreys-prior.mp4 15.9 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/01_introduction-to-poisson-regression.mp4 15.0 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/01_prediction-for-location-mixture-of-ar-models.mp4 13.9 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/06_prediction-for-location-mixture-of-ar-model.mp4 13.9 MB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/08_spectral-representation-of-the-ar-p-example.mp4 13.7 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/01_module-overview/01_course-introduction.mp4 13.6 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/05_posterior-predictive-simulation.mp4 13.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/07_introduction-to-r.mp4 13.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/04_alternative-priors/01_lesson-11-1-non-informative-priors.mp4 12.6 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/03_jags/01_download-install-setup.mp4 11.5 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/02_the-r-environment-for-statistical-computing/01_installing-and-using-r.mp4 10.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/09_plotting-the-likelihood-in-excel.mp4 8.9 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/01_introduction/01_welcome-to-bayesian-statistics-mixture-models.mp4 8.8 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/02_sampling-from-a-mixture-model.mp4 8.8 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/08_plotting-the-likelihood-in-r.mp4 8.6 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/06_deviance-information-criterion-dic.mp4 6.9 MB
Coursera - Bayesian Statistics Techniques and Models/05_capstone-project/01_course-conclusion/01_course-conclusion.mp4 4.9 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/02_7-linear-regression/07_code-for-lesson-7_lesson_07.html 3.4 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/06_course-conclusion/01_conclusion.mp4 3.2 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/04_code-for-lesson-6_lesson_06.html 2.2 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/04_9-logistic-regression/04_code-for-lesson-9_lesson_09.html 1.8 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/09_code-and-data-for-lesson-11_lesson_11.html 1.6 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/05_code-for-lesson-10_lesson_10.html 1.6 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/05_code-for-lesson-4_lesson_04.html 1.5 MB
Coursera - Bayesian Statistics Mixture Models/06_Resources/01_notes-on-finite-mixture-models/01__mixturemodels.pdf 1.4 MB
Coursera - Bayesian Statistics Techniques and Models/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/04_prior-sensitivity-analysis_priorSensitivity.html 1.0 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/05_multiple-factor-anova/01_multiple-factor-anova_lesson_08multipleANOVA.html 1.0 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/04_5-gibbs-sampling/04_code-for-lesson-5_lesson_05.html 988.8 KB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/03_code-for-lesson-8_lesson_08.html 921.1 KB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/03_jags/04_code-from-jags-introduction_JAGSintro.html 890.1 KB
Coursera - Bayesian Statistics Techniques and Models/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/05_code-for-lesson-3_lesson_03.html 872.3 KB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/07_ar-model-fitting-example_instructions.html 648.0 KB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/02_the-r-environment-for-statistical-computing/02_an-introduction-to-r_R-intro.pdf 612.3 KB
Coursera - Bayesian Statistics Time Series Analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/01_introduction/02_introduction-to-r_R-intro.pdf 612.3 KB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/07_location-and-scale-mixture-of-ar-model_instructions.html 267.7 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/04_review-of-distributions/04_supplementary-material-for-lesson-3_L3_supp.pdf 152.8 KB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/10_extended-ar-model_Honor-Extend_AR_model.pdf 151.0 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/04_models-for-continuous-data/05_linear-regression/01_background-for-lesson-12_L12_background.pdf 140.0 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/01_background-for-lesson-5_L5_background.pdf 127.0 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/06_supplementary-material-for-lesson-5_L5_supp.pdf 116.7 KB
Coursera - Bayesian Statistics Capstone Project/02_model-selection-criteria/01_week-2/02_aic-and-bic-example_instructions.html 114.5 KB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/07_the-ar-p-review_summary.pdf 113.7 KB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/02_autocorrelation_Autocorrelation.pdf 105.6 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/06_supplementary-material-for-lesson-4_L4_supp-v2.pdf 105.0 KB
Coursera - Bayesian Statistics Capstone Project/02_model-selection-criteria/01_week-2/04_dic-example_instructions.html 102.9 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/02_frequentist-inference/01_background-for-lesson-4_L4_background.pdf 100.5 KB
Coursera - Bayesian Statistics From Concept to Data Analysis/01_probability-and-bayes-theorem/02_probability/01_background-for-lesson-1_L1_background.pdf 84.4 KB
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/10_arima-processes_ARIMA.pdf 81.8 KB
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