[CourserHub.com] Coursera - Bayesian Statistics Specialization

Creation Time	March 26, 2024, 4:04 a.m.
Last Access Time	April 25, 2025, 6:55 p.m.
File Size	5.5 GB
Keywords	Statistics Specialization - Coursera Bayesian com CourserHub
Total Requests	162
Total Files	639
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mixture-models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/02_em-for-location-mixtures-of-gaussians.mp4 121.6 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/04_the-ar-1-maximum-likelihood-estimation-and-bayesian-inference/02_maximum-likelihood-estimation-in-the-ar-1.mp4 121.3 MB
mixture-models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 107.6 MB
mixture-models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 104.0 MB
bayesian-statistics-capstone/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 102.7 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/05_estimating-the-full-partition-structure-in-bayesian-settings.mp4 101.9 MB
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
mixture-models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 91.4 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/03_mcmc-for-location-mixtures-of-normals-part-1.mp4 86.6 MB
mixture-models/04_applications-of-mixture-models/03_classification/02_linear-and-quadratic-discriminant-analysis-in-the-context-of-mixture-models.mp4 83.8 MB
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
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/02_bayesian-inference-in-the-ndlm-part-ii/03_specifying-the-system-covariance-matrix-via-discount-factors.mp4 76.5 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/02_markov-chain-monte-carlo-algorithms-part-2.mp4 75.6 MB
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
bayesian-statistics-time-series-analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 68.9 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/01_markov-chain-monte-carlo-algorithms-part-1.mp4 68.2 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/04_mcmc-for-location-mixtures-of-normals-part-2.mp4 67.3 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 63.0 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/01_the-normal-dynamic-linear-model-definition-model-classes-and-the-superposition/01_ndlm-definition.mp4 61.1 MB
mixture-models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 60.3 MB
bayesian-statistics-capstone/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/04_model-formulation.mp4 59.9 MB
mixture-models/04_applications-of-mixture-models/01_density-estimation/01_density-estimation-using-mixture-models.mp4 58.2 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/03_the-ar-1-process-definition-and-properties/01_the-ar-1.mp4 58.0 MB
mixture-models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/04_the-likelihood-function.mp4 56.3 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/04_estimating-the-number-of-components-in-bayesian-settings.mp4 55.4 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/01_bayesian-information-criteria-bic.mp4 54.2 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/05_data-analysis-example-in-excel.mp4 52.0 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/01_the-normal-dynamic-linear-model-definition-model-classes-and-the-superposition/02_polynomial-trend-models.mp4 49.2 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/02_demonstration.mp4 48.9 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/04_5-gibbs-sampling/02_conditionally-conjugate-prior-example-with-normal-likelihood.mp4 47.7 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/01_eeg-data.mp4 47.0 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/02_google-trends.mp4 46.3 MB
mcmc-bayesian-statistics/03_common-statistical-models/03_8-anova/01_introduction-to-anova.mp4 45.6 MB
bayesian-statistics/02_statistical-inference/03_bayesian-inference/05_lesson-5-4-posterior-intervals.mp4 44.7 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/04_poisson-data/01_lesson-8-1-poisson-data.mp4 44.2 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/03_posterior-derivation.mp4 43.9 MB
bayesian-statistics/04_models-for-continuous-data/04_alternative-priors/01_lesson-11-1-non-informative-priors.mp4 43.4 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/01_algorithm.mp4 42.8 MB
mixture-models/05_practical-considerations/01_computational-considerations-for-mixture-models/01_numerical-stability.mp4 41.5 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/01_components-of-bayesian-models.mp4 40.7 MB
bayesian-statistics-capstone/02_model-selection-criteria/01_week-2/01_aic-and-bic-in-selecting-the-order-of-ar-process.mp4 40.7 MB
bayesian-statistics/02_statistical-inference/02_frequentist-inference/03_lesson-4-2-likelihood-function-and-maximum-likelihood.mp4 40.6 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/03_lesson-7-3-posterior-mean-and-effective-sample-size.mp4 40.4 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/03_filtering-in-the-ndlm-example.mp4 39.1 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/04_the-ar-1-maximum-likelihood-estimation-and-bayesian-inference/04_bayesian-inference-in-the-ar-1.mp4 38.8 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/01_correlated-data.mp4 38.7 MB
mcmc-bayesian-statistics/03_common-statistical-models/03_8-anova/02_one-way-model-using-jags.mp4 38.4 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/04_5-gibbs-sampling/01_multiple-parameter-sampling-and-full-conditional-distributions.mp4 38.0 MB
bayesian-statistics/02_statistical-inference/03_bayesian-inference/03_lesson-5-2-inference-example-bayesian.mp4 37.9 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/01_monte-carlo-integration.mp4 37.9 MB
mcmc-bayesian-statistics/03_common-statistical-models/04_9-logistic-regression/02_jags-model-logistic-regression.mp4 36.9 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/02_1-statistical-modeling/02_modeling-process.mp4 36.9 MB
bayesian-statistics/04_models-for-continuous-data/05_linear-regression/02_linear-regression-in-r.mp4 36.3 MB
bayesian-statistics/04_models-for-continuous-data/05_linear-regression/03_linear-regression-in-excel-analysis-toolpak.mp4 36.0 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/04_random-walk-example-part-2.mp4 36.0 MB
bayesian-statistics/01_probability-and-bayes-theorem/03_bayes-theorem/02_lesson-2-2-bayes-theorem.mp4 35.5 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/02_bayesian-inference-in-the-ndlm-part-ii/04_ndlm-unknown-observational-variance-example.mp4 35.5 MB
bayesian-statistics/04_models-for-continuous-data/05_linear-regression/04_linear-regression-in-excel-statplus-by-analystsoft.mp4 35.2 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/02_jags-model-poisson-regression.mp4 35.0 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/03_building-ndlms-with-multiple-components-examples.mp4 34.8 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/04_data-analysis-example-in-r.mp4 34.7 MB
bayesian-statistics-time-series-analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/04_example-bayesian-inference-in-the-ar-p-conditional-likelihood.mp4 34.7 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/04_non-conjugate-models.mp4 34.2 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/03_2-bayesian-modeling/02_model-specification.mp4 34.2 MB
bayesian-statistics-capstone/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/08_prediction-for-ar-models.mp4 33.5 MB
mcmc-bayesian-statistics/03_common-statistical-models/02_7-linear-regression/04_model-checking.mp4 33.2 MB
mcmc-bayesian-statistics/03_common-statistical-models/02_7-linear-regression/01_introduction-to-linear-regression.mp4 33.1 MB
bayesian-statistics-time-series-analysis/02_week-2-the-ar-p-process/02_bayesian-inference-in-the-ar-p/01_bayesian-inference-in-the-ar-p-reference-prior-conditional-likelihood.mp4 33.1 MB
mixture-models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/01_hierarchical-representations.mp4 32.4 MB
bayesian-statistics/01_probability-and-bayes-theorem/02_probability/02_lesson-1-1-classical-and-frequentist-probability.mp4 32.3 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/02_1-statistical-modeling/01_objectives.mp4 32.0 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/02_stationarity-the-acf-and-the-pacf/02_the-autocorrelation-function-acf.mp4 31.6 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/06_linear-regression-example.mp4 31.1 MB
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
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/01_trace-plots-autocorrelation.mp4 30.5 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/03_computing-examples.mp4 30.3 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/04_5-gibbs-sampling/03_computing-example-with-normal-likelihood.mp4 30.2 MB
bayesian-statistics/01_probability-and-bayes-theorem/04_review-of-distributions/02_lesson-3-2-uniform-distribution.mp4 30.1 MB
bayesian-statistics/01_probability-and-bayes-theorem/04_review-of-distributions/01_lesson-3-1-bernoulli-and-binomial-distributions.mp4 30.0 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/01_the-normal-dynamic-linear-model-definition-model-classes-and-the-superposition/03_regression-models.mp4 29.1 MB
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
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/02_stationarity-the-acf-and-the-pacf/05_acf-pacf-differencing-and-smoothing-examples.mp4 28.9 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/06_example-bayesian-inference-for-the-partition-structure.mp4 28.8 MB
bayesian-statistics/02_statistical-inference/02_frequentist-inference/02_lesson-4-1-confidence-intervals.mp4 28.2 MB
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
mcmc-bayesian-statistics/03_common-statistical-models/04_9-logistic-regression/03_prediction.mp4 28.1 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/02_monte-carlo-error-and-marginalization.mp4 27.9 MB
bayesian-statistics/01_probability-and-bayes-theorem/03_bayes-theorem/01_lesson-2-1-conditional-probability.mp4 27.5 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/01_introduction/01_welcome-to-bayesian-statistics-time-series.mp4 27.5 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/02_priors/02_lesson-6-2-prior-predictive-binomial-example.mp4 27.3 MB
mcmc-bayesian-statistics/03_common-statistical-models/04_9-logistic-regression/01_introduction-to-logistic-regression.mp4 26.9 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/04_mixture-models/02_mixture-model-in-jags.mp4 26.5 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/02_lesson-7-2-conjugate-priors.mp4 26.0 MB
bayesian-statistics/02_statistical-inference/02_frequentist-inference/05_lesson-4-4-computing-the-mle-examples.mp4 25.4 MB
bayesian-statistics/02_statistical-inference/03_bayesian-inference/02_lesson-5-1-inference-example-frequentist.mp4 25.2 MB
mixture-models/05_practical-considerations/01_computational-considerations-for-mixture-models/03_computational-issues-associated-with-multimodality.mp4 25.1 MB
bayesian-statistics-capstone/03_bayesian-location-mixture-of-ar-p-model/01_week-3/03_coding-the-gibbs-sampler.mp4 24.8 MB
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
bayesian-statistics/02_statistical-inference/03_bayesian-inference/04_lesson-5-3-continuous-version-of-bayes-theorem.mp4 24.4 MB
mixture-models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/05_em-example-2.mp4 24.2 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/07_linear-regression-example-in-jags.mp4 24.2 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/04_jags-model-and-model-checking-hierarchical-modeling.mp4 24.1 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/10_using-the-dlm-package-in-r.mp4 23.5 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/01_the-normal-dynamic-linear-model-definition-model-classes-and-the-superposition/05_the-superposition-principle.mp4 23.0 MB
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
mixture-models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/03_em-example-1.mp4 22.1 MB
mixture-models/04_applications-of-mixture-models/02_clustering/02_clustering-example.mp4 22.0 MB
mixture-models/04_applications-of-mixture-models/03_classification/03_classification-example.mp4 21.6 MB
bayesian-statistics/04_models-for-continuous-data/03_normal-data/01_lesson-10-1-normal-likelihood-with-variance-known.mp4 21.3 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/02_priors/03_lesson-6-3-posterior-predictive-distribution.mp4 21.1 MB
bayesian-statistics/04_models-for-continuous-data/02_exponential-data/01_lesson-9-1-exponential-data.mp4 20.9 MB
mcmc-bayesian-statistics/03_common-statistical-models/02_7-linear-regression/03_jags-model-linear-regression.mp4 20.8 MB
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
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/03_the-ar-1-process-definition-and-properties/03_simulating-from-an-ar-1-process.mp4 20.7 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/03_jags/02_model-writing-running-and-post-processing.mp4 20.6 MB
mixture-models/04_applications-of-mixture-models/01_density-estimation/02_density-estimation-example.mp4 20.6 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/03_random-walk-example-part-1.mp4 20.5 MB
mcmc-bayesian-statistics/03_common-statistical-models/02_7-linear-regression/05_alternative-models.mp4 20.4 MB
bayesian-statistics-capstone/02_model-selection-criteria/01_week-2/03_deviance-information-criterion-dic.mp4 20.3 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/04_3-monte-carlo-estimation/04_computing-monte-carlo-error.mp4 20.1 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/09_second-order-polynomial-filtering-and-smoothing-example.mp4 20.0 MB
mcmc-bayesian-statistics/01_statistical-modeling-and-monte-carlo-estimation/01_module-overview/01_course-introduction.mp4 20.0 MB
mixture-models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/06_zero-inflated-mixtures.mp4 19.6 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/02_priors/01_lesson-6-1-priors-and-prior-predictive-distributions.mp4 19.5 MB
mcmc-bayesian-statistics/03_common-statistical-models/02_7-linear-regression/02_setup-in-r.mp4 19.4 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/02_10-poisson-regression/03_predictive-distributions.mp4 19.4 MB
bayesian-statistics/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/01_lesson-7-1-bernoulli-binomial-likelihood-with-uniform-prior.mp4 19.3 MB
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
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/07_smoothing-in-the-ndlm-example.mp4 18.7 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/02_bayesian-information-criteria-example.mp4 18.6 MB
mcmc-bayesian-statistics/04_count-data-and-hierarchical-modeling/03_11-hierarchical-modeling/03_prior-predictive-simulation.mp4 18.0 MB
bayesian-statistics/01_probability-and-bayes-theorem/02_probability/03_lesson-1-2-bayesian-probability-and-coherence.mp4 17.9 MB
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
bayesian-statistics-capstone/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/01_introduction.mp4 17.8 MB
mcmc-bayesian-statistics/02_markov-chain-monte-carlo-mcmc/05_6-assessing-convergence/03_multiple-chains-burn-in-gelman-rubin-diagnostic.mp4 17.4 MB
bayesian-statistics/02_statistical-inference/02_frequentist-inference/04_lesson-4-3-computing-the-mle.mp4 17.4 MB
bayesian-statistics/04_models-for-continuous-data/03_normal-data/02_lesson-10-2-normal-likelihood-with-variance-unknown.mp4 17.4 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/02_bayesian-inference-in-the-ndlm-part-ii/01_filtering-smoothing-and-forecasting-unknown-observational-variance.mp4 17.3 MB
bayesian-statistics/01_probability-and-bayes-theorem/04_review-of-distributions/03_lesson-3-3-exponential-and-normal-distributions.mp4 17.1 MB
mixture-models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/02_mixtures-of-gaussians.mp4 16.6 MB
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